Posted on Authorea 22 Jun 2020 — The copyright holder is the author/funder. All rights reserved. No reuse without permission. — https://doi.org/10.22541/au.159284833.33805865 — This a preprint and has not been peer reviewed. Data may be preliminary. ftenn ae ntenrhr Pdslydadatcrsn rn iha vrg aeo .2ma In m/a. 0.82 of rate average an with trend level water rising the drastic period, a 2016-2018, study displayed period the TP During the results northern lakes. during the The the rises among years. in abrupt varied lakes recent showed rises lakes nine the in examined of the changes magnitudes 22 of recently-advanced lake and the and reversed onsets Tibetan traditional of or the the changes of but combine decelerated hiatus level understanding to or water been aims our deceleration that had study the update reveal This TP whether far. to investigated central thus observations systematically years the altimetry following been in more the not in lakes The has last observations. It of would measurement altimetry 2010-2016. the tendency inadequate satellite period growth by of developing the limited the the patterns during disturbance, usually by revealed spatiotemporal human was remedied studies the minimal variation, been recent level of and has water catchments obstacle examination for This closed However, accessibility. especially change. with changes, (TP), climate lake Plateau to Tibetan Tibetan indicators the important in are lakes inland The atmospheric large-scale primarily the were to related rates Abstract: stably be rise a may level kept which lake TP TP, Ni˜na the northwestern events. the an La of over and Ni˜no with and differences precipitation El TP The slowly spatial the of northeastern rose by changes categories. the levels the affected two temporal water analysis, in circulation lake into and climate lakes the spatial divided of for CTP, the generally levels results eastern by water were the the caused trend The changes to in rising level According while drastic m/a. lake rapidly, a tendency. 0.40 varied displayed rose the rising than rises TP TP, CTP less northern western the central rate the the of the in rising in magnitudes In lakes average lakes and nine the m/a. onsets the for the 0.82 of changes levels level but level of water water water 2016-2018, rate the that average period altimetry period, reveal an the recently-advanced study results during with and the The rises During traditional years. abrupt the lakes. or recent showed combine been the deceleration in lakes to among had changes the examined aims lake TP whether 22 study Tibetan central investigated This the of systematically the of understanding far. been in our thus not lakes years update developing has of following to the It observations the tendency by in growth 2010-2016. remedied last the period been would revealed the hiatus has studies level during obstacle water recent reversed for This more or especially The decelerated accessibility. changes, lake measurement observations. Tibetan inadequate altimetry the by of satellite indicators limited patterns important are spatiotemporal usually disturbance, the was human of minimal variation, examination and catchments However, closed change. with (TP), climate Plateau to Tibetan the in lakes inland The Abstract 2020 22, June 5 4 3 2 1 Chen Tan Zhan analyses Pengfei force driving from its inferred and lakes altimetry Tibetan multi-mission of behavior hydrologic abnormal Recent oa nvriyCleeo yrlg n ae Resources Water and Hydrology of Technology College and University Science Hohai Information of Sciences University of Nanjing Academy Chinese University Sciences Limnology, State of and Kansas Academy Geography Chinese of Limnology Institute and Nanjing Geography of Institute Nanjing 1 1 hnioSong Chunqiao , 2 iaWang Jida , 3 ekiLi Wenkai , 1 4 igogKE Linghong , 5 a Liu Kai , 1 and , Posted on Authorea 22 Jun 2020 — The copyright holder is the author/funder. All rights reserved. No reuse without permission. — https://doi.org/10.22541/au.159284833.33805865 — This a preprint and has not been peer reviewed. Data may be preliminary. eaa ae ee hne flksi h P(a ta.21;Keneebike l 05 oge al. et Song satellites. 2015; two al. or et one Kleinherenbrink by large-size accessible their 2013; of only al. the because are investigate and et lakes bodies to many (Gao water used large spacing, TP for along-track/cross-track been suitable the and have only footprint in are centimeters, altimeters lakes to radar these of decimeters However, solve 2015a). changes from better level ranging can combination water Jason- accuracy we The and decadal TP. height that Cryosat-2 the Envisat, the so in ERS-1/-2, mechanisms scales, at TOPEX/POSEIDON, driving time 1/-2/-3, including and ten-day changes missions, level level to altimetry water weather lake monthly multi-radar of by of from extend patterns affected revisit temporal can not and of are 1990s spatial that frequency early the applications high of the are measurements reasonable advantages since The height a long- continuously coverage. and the Favorably, temporal tracing launched the longer TP. of for been a the misunderstanding have insufficient to incomplete in observations that is an changes the altimeters in mission data. lake resulting examined radar ICESat altimetry of level, have satellite water characteristics the laser level (2011) in heterogeneous (ICESat) water of shift) al. rapid and Satellite sampling sudden Elevation experienced trends et (e.g. sparse lakes changes land Zhang and abrupt Tibetan and cycle or and most Cloud term revisit that (2013), Ice, found long al. the and the using et TP However, by Wang the 2003–2009 in (2014b), during levels al. water rises al. lake et et the TP. Song Song in the (2012), changes 2014a; across cannot al. al. dynamics have variations lake et measurements et area the altimetry optical Song Phan lake satellite high-quality of 2019; more investigation derived of al. and the acquisition the et more the for and Qiao Therefore, However, synergized changes. conditions, 2018; 2010). been budget weather al. al. water (Huang unfavorable et et the Zhu TP by Mao indicate 2019; the directly impeded 2017; al. in al. usually et time et is Zhang and Lu images 2016; space 2014; al. across al. et changes Wan et greatly lake 2014b; prior Lei has Many examine 2011; sensors. TP to various However, al. populated from climate. images observations et sparsely changing satellite satellite and the emerging optical to remote rapidly employed lakes the the by of studies in reduced responses data been climate has situ and obstacle in hydrological are this the historical There of of lakes. investigation lack the and The limited glaciers 2014). km Plateau of al. 1 distributions et Tibetan than vast (Zhang larger the accommodates lakes Tower”, plateau, 1200 Water than highest “Asian more as Earth’s 2018). known on al. TP, lake observed et The elucidate decades(Wang are near (2019) growths Urmia the al. Sea, lake in Aral et remarkably widespread Sea, (TP). Busker shrank prominent Caspian contrast, hinterland, and as The Eurasian the such such observations. (2019), lakes, of efforts On altimetry large al. basins recent many and endorheic et that Several optical in Yao suggest interests. Lake satellite studies (2016), these scientific multi-temporal al. in and using revealed et characteristics scale political, Donchyts global socioeconomic, (2016), at of al. dynamics range et variability and wide lake Pekel V of energy a investigation as of 2013; Therefore, scales for exchange consumption. the al. global water cycles, critical human and witnessed et biogeochemical and is regional have ecosystems, atmosphere, Song the at balance, 2005; decades with water changes gases al. several regional global tracing on et last of effects Smith context The profound the 2014; have activities. in al. human lakes et and in (Shi changes change resource tremendous climate essential and an to widespread as sensitive well as quite cycles, D biogeochemical and are and (Lehner hydrological societies global human of for part important an are Lakes Introduction 1 Ni˜na events. La TP, Ni˜no and the El over the the precipitation by of of affected differences changes circulation spatial northwestern words temporal atmospheric the and and an large-scale Key analysis, TP spatial the with climate the to northeastern slowly by related of the rose caused be results in levels primarily may the the lakes water were which to for for lake rates According levels levels the rise tendency. water water CTP, level rising The lake The eastern stably m/a. categories. the a 0.40 two in kept than into while TP less rapidly, divided rate rose generally rising CTP were average western changes the level in lake lakes the TP, central the iea lta,lk,wtrlvl aelt lier,ciaecag,precipitation change, climate altimetry, satellite level, water lake, Plateau, Tibetan : l 04 amre l 05 hn ta.21) hs nadwaterbodies inland These 2016). al. et Sheng 2015; al. et Palmer 2004; ¨ oll 2 oeiga nnainae f˜300km ˜43,000 of area inundation an covering , 2 ¨ or sat 02 age l 04.Lk changes Lake 2014). al. et Wang 2002; ¨ osmarty 2 rcre rud2000) around (recorded Posted on Authorea 22 Jun 2020 — The copyright holder is the author/funder. All rights reserved. No reuse without permission. — https://doi.org/10.22541/au.159284833.33805865 — This a preprint and has not been peer reviewed. Data may be preliminary. leigo ut-oremre lier esrmns nti ae,bcueteagrtm dpe by adopted Kalman a algorithms and the detection because outlier referred paper, extended an this be on In can based detail measurements. was in which altimetry Forschungsinstitut 2015) database merged Geodatisches DAHITI al. multi-source Deutsches of et of (Schwatke the procedure filtering al. by satellites processing et different The launched Schwatke instrument in the was 2013. radar to from archive in First, potential levels DGFI-TUM) data minimized lake now steps. DAHITI Finally, to (DGFI, three The standard satellites. into satellites, reference different merged. divided different between a of were mainly differences as data is geoid measurement used and calculation altimetry was altimetry the deviations level data different obtain water Topex/Poseidon al. Since to the then et separately archive. lake, and Cretaux processed data was 2009; same this de- data produce the was satellite al. et to for each archive et used Geophysique used (Cretaux data been are en data altimetry have Sentinel satellites of Etudes rectification Hydroweb and background Series LEGOS d Envisat All Time source The Laboratoire Jason, 2011b). data Hydrological Topex/Poseidon, the one archive. the merged from As data and from levels rived archive altimetry years. lake data (DAHITI) service Waters different altimetry obtained reconstructed of Hydroweb Inland we changes data (LEGOS) level levels, satellite Spatiales lake water altimetry long-term Oceanographie the the analyzed present, on our At based and of in- years. is measurements thirty altimetry 1990s, institutions nearly of The many early coverage to by spatial the span 1). the temporal since Cryosat-2(Table increase the can increased and extend satellites Envisat gradually altimetry different Jason-1/-2/-3, been of ERS-2, has combination satellites ERS-1, TOPEX/POSEIDON(T/P), altimetry by cluding provided archives data data Observation altimetry DAHITI and Hydroweb LEGOS 2.2.1 data 2. by Table Study analyzed and 2.2 were 1 TP Fig. the in in here] presented km2 the 1 are 100 of altimetry than Figure characteristics satellite larger climate [Insert The by lakes of covered 22 distributed measurements. impact lakes of densely altimetry the TP and total most radar to 22 a recently-advanced the due study, studied of in and changes this one traditional significant In etc.) is the undergoing 2010). which River, combining currently TP, al. are of the et lakes River, developed. in storage (Ma Yellow these lakes is changes are rich and River, many system surroundings the ( China, are water its in rivers the there the and regions large addition, of and TP In many complex, because The is of Asia. Asia” area throughout birthplace 2008). of this the Tower al. of “Water is environment et and It geographical (Xu the Most Pole” The while seasonality. 10%. Third September, resources. strong than and “Earth’s water by June less as strong characterized between is and known is occurs has February temperature TP precipitation) It sometimes to low the total 2014b). by November annual in marked from al. of precipitation is et -90% rainfall The TP (Song (60% the km2 2011). precipitation in million the al. climate 3 of The et about (Piao m. area radiation 4,000 geographic approximately a solar of with altitude Eurasia central mean in a located is TP The region Study 2.1 in changes methods lake and of Materials tendency varying 2 recent Furthermore, this the last years. Thus, of would several mechanism hiatus past far. driving our or near thus climate update the deceleration investigated TP. to potential in the the lakes measurements the systematically whether Jiang Tibetan altimetry explore However, been 2019; of radar will not characteristics recently-advanced 2015b). we changing al. and has the et traditional al. It of the (Hwang in et understanding combine lakes 2010-2016 Song unclear. to of period 2019; remains aims tendency the years study al. growth during following et the reversed the Lei revealed or in more 2017; observations decelerated The finer been al. bodies. and had et water longer TP smaller the central relatively (2016-) from measuring the Jason-3 of benefiting (2013-), options SARAL/AltiKa studies alternative (2010-), recent provide CryoSat-2 (2016-), e.g. Sentinel-3 altimeters, satellite and in advances recent The 3 Posted on Authorea 22 Jun 2020 — The copyright holder is the author/funder. All rights reserved. No reuse without permission. — https://doi.org/10.22541/au.159284833.33805865 — This a preprint and has not been peer reviewed. Data may be preliminary. .. lier ae ee processing level water Altimetry events. 2.3.1 Nina La and Nino the El Methods of by 2.3 from association driven (SST) the anomalies temperature investigate precipitation the surface to sea and analyzed applied reanalysis The changes we also ERA-interim level was 2011). addition, on lake Administration In al. based Atmospheric TP et surroundings Network 1. and (Dee its Meteorological Oceanic 0.75degx0.75deg Fig. and National China of in TP the the resolution shown data the spatial from over are a precipitation collected modes stations with monthly was data transport ten and TP vapor the water annual the of of the in locations changes stations changes, The 10 level cma.cn). from water (http://data. 1990-2018 lake period of the impact for climate the investigate To data Climate 2.2.3 here] https://sentinel.esa.int/web/sentinel/ down- 2 We through Table 2019). 2018 [Insert al. December et to characteristic(Jiang 2016 critical most March the from is sentinel-data-access. Sentinel-3 data (Donlon mode (SRAL) tracking needed surfaces. altimeter the the radar flat them, SAR loaded Among relatively dual-frequency over the 2012). with the resolution al. modes along-track modes, et and measurement functions high new Aper- two achieves multiple Synthetic in which the has and satellite data mode surfaces, acquires fre- (SAR) open-ocean instrument C-band homogeneous Radar over SRAL a ture useful by The is supplemented which which errors. (LRM) measurements, instrument, Mode delay range Low-Resolution (SRAL) range altimeter Altimeter for correct Radar band to Ku Aperture quency at Synthetic occasionally the pulses uses transmits Mission Topography Surface The Ka ftp://avisoftp.cnes.fr. from the data 2016) downloaded Sentinel-3/SRAL in We June 2.2.2.2 measure to 2010). which 2013 (Project to enhanced, March frequency 2016, altimeter been repetition from had pulse (spanning July first MHz) higher data after and (500 the SARAL resolution bandwidth but was altimetry the vertical AltiKa’s Envisat, previous higher it addition, a the as In that in to same resolution. resulted was Compared spatial the higher SARAL/AltiKa mode. were Envisat with track of and satellite band, ground series improvement SARAL drifting ERS the to of the transformed of satellites, cycle continuation then revisit a was is and satellite agency 2013, space SARAL orbit February France the 25 The and on (ISRO) launched Organization missions. mission, Research Space The Indian 2010). the of (Project mission common a is SARAL data SARAL/AltiKa 2.2.2.1 supplement. reliability data Six the the 2013-2018. verify as to period data used used the altimetry were were during Supplementary Others archives, series 2.2.2 data data. missing time DAHITI altimetry level the and Sentinel-3 lake Hydroweb supplement Fig. and as 12 to SARAL to lakes of SARAL of same back used total combined the (refer a were and covering obtain interpreted monitoring data them, We archives. to level of altimetry archives. data data lake data Sentinel-3 altimetry long-term DAHITI our DAHITI Sentinel-3 and The and of and and Hydroweb SARAL Hydroweb needs LEGOS 2). study, the the on (Table this from meet Plateau based observations in fully Tibetan obtained Therefore, cannot the was lakes in lakes 1). of lakes 16 number of of the number However, information the certain change by a covered level cover was water archives lake priority. data a the two When as Both lake. selected a was here] archive for data 1 them Hydroweb Table of time, [Insert one same used the only at we archives different, data were two archives data two the 4 Posted on Authorea 22 Jun 2020 — The copyright holder is the author/funder. All rights reserved. No reuse without permission. — https://doi.org/10.22541/au.159284833.33805865 — This a preprint and has not been peer reviewed. Data may be preliminary. oefo 536 o44.7m iha nraigrt xedn .0ma oee,frteelakes, Co these Seling for for However, level m/a. lake 0.80 the exceeding 2010, rate December increasing expansion to an dramatic 1998 with most May m, The From 4543.77 respectively. to Co 2005, . Migriggyangzham m and Central while 4533.66 2003 2000, in from data after before Co Seling rose DAHITI 2000. rapidly rapidly for Seling around rise and grow level in lake to since Hydroweb to the increase began occurred from began YumCo example, level Tangra Lake lakes For water and TP rapid lakes. 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C ocean > 1km ,poletide ), 2 across ) Posted on Authorea 22 Jun 2020 — The copyright holder is the author/funder. All rights reserved. No reuse without permission. — https://doi.org/10.22541/au.159284833.33805865 — This a preprint and has not been peer reviewed. Data may be preliminary. rn f04 /.Oeal otlksi h otenTbtnPaeueprecdarltvl atrrates increasing CTP. faster rapid eastern steady relatively the and a a here] NETP experienced maintained experienced the 6 NamCo Plateau Lake in Figure Zhari Tibetan Qinghai those [Insert northern 0.66 and to for the was Co compared level in rate rise, Dagze lakes the level increasing for most largest Province, water average Overall, levels the of Qinghai The lake m/a. 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Table Caka, the A 0.82 in Jieze of Lake listed TP, Heishibei environment. part As for northwestern northern geographical region. level the The the harsh in and and rates, m/a. lakes rising complex 1.39 three level reaching tendency water The remained rising in fastest, Co experienced the difference m/a. rose Nam revealed lakes significantly lakes showed of 0.74 most Lake other level Obviously, of of Heishibei lake series 3. rate and the time Table except mean level and specific, water the 6 the be with To fluctuations, Fig. little 2016-2018. in with period shown stable the relatively are during rate increase changing 2016-2018 significant level a during lake rates of changing results level Our lake of distribution Spatial 3.3 inter-annual an showed here] Co 5 Gyariog Figure for [Insert evident level an here] lake showed display 4 the Lake, lakes Figure the contrast, six UlanUla [Insert between In The and lakes alpine Lake 5. m/a). the Mingjing 1 Fig. example, Lake, For (exceeding in fluctuation. than XijingUlan shown rise 2016-2018. larger including are significantly during lakes series Mountains, rates a the varying time Kunlun monitor at level to and water increase used Tanggula level the were water and data of TP, Sentinel-3 for The trend and the agreement SARAL in NamCo. good results. the km2 in Zhari reliable validation, also 100 for have above are data 2017 the seasons Sentinel-3 depict of on dry and clearly (July-September) in Based SARAL declines season sources that and wet data suggesting seasons and the lakes, wet both changes the during in example, abrupt all rises m For the levels 1.0 but water about consistent. comparable of characteristics sources of overall data increase are Ayakkum, two sudden indicate level Co, from lakes a lake derived the Nam all trends of Lake, for general variations series Qinghai the time and intra-annual for level are Hydroweb water combining 2018 only The the Hydroweb/DAHITI by not and YumCo. from with Tangra that 2018 2013 series and inter-compare to NamCo time between to water-level Zhari 2013 data Co, of aimed from Migriggyangzham SARAL/Sentinel-3 comparisons Ti- lakes were the and other 12 them presents archives in of 4 of data similarly total Fig. Six a occurred data. of data. 2016-2018 altimetry changes DAHITI altimetry during level Sentinel-3 increase water and level the SARAL water investigated abrupt we data lakes, whether altimetry betan examine Sentinel-3 to and order SARAL In on based variations are level lakes Lake other 3.2 inter-annual of showed the series Co time than here] Nam Level more 3 for 2016-2018 years. 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Data may be preliminary. nacd rmFg D ecnas n htteei hnmnno nenlwtrvprcirculation In vapor CTP. water western internal the was of over plateau phenomenon rainfall the a significant to is and Ocean there subsidence Indian that vapor by the water find influenced from cause also to more flux might can was plateau which vapor we NTP CTP south water retention, summer 8D, the the and the the The in Fig. in addition, from precipitation From In monsoon. precipitation Similarly, transport summer study, enhanced. monsoons. vapor enhanced. significantly Indian this summer water significantly the Asian increased In was meridional and the has Bengal the westerlies. monsoon anomaly of TP and Asian Bay significant the the enhanced, the East most of of was the the Fig. strengthening circulation part by with abnormal 8B, the northwestern monsoon influenced increases by to obviously vapor the (Fig. transported due water more to respectively is years total is 2018, transported several vapor the and moisture last comparison, water 2017 The In in the 2016, 8E). when 2015, 2017-2018. 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(when More the 2016 (Fig. be before Supplement increase. expansion the to level lake in have lake of would of a hiatus play the it round or by to another and slow-down implied appears was the less), precipitation This reverse Overall, was of not melting). precipitation increase. season glacier/permafrost 2015) did level wet induced melting lake TP its the warming-induced recent the (and (e.g. during the fact temperature in precipitation in years than 2018 role excessive role and individual crucial dominant the good 2017 more a in that in a played suggests showed level rises 2018 level increases This and water lake level 2017 precipitation. of drastic lake high the season decrease example, to wet water For the of corresponded lake amount. amplitude summer that the precipitation the The find with and the on precipitation. relationship increase during can summer precipitation level level less lake we monthly water between to specific addition, correspondence lake corresponded of good the In compared the influence and was and precipitation the precipitation feature selected precipitation. monthly prominent study was of most the years increase to The study, recent the selected level. in the with were data to was consistent precipitation 2013-2018 According It was monthly period dynamics. level. the 2017-2018 lake lake so in Tibetan years, the level of several with driver lake past 2012 first-order of are from near a increase period 1990 the be drier in since drastic to relatively Tibetan changes the a remains in level after precipitation that jumps increase lake that level found precipitation suggests water of continued of This drastic of trends acceleration result the 2016. the a that the to S1), been reveal with has findings (Fig. 2016, Therefore, Our since materials lakes studies. supplementary 2015). previous and with al. 3 consistent TP. et generally the Fig. which Lu in in 2014), 2017; expansion shown al. lake As et al. rapid (Yang et increase the gradually of Lei also observation 2011; be the could supports al. convection. precipitation humidification, air et such and enhanced Yang changes warming significantly climate 2014; climate and regional by reduction al. affected evaporation mainly et potential been (Yang content, has vapor lakes water Tibetan increased of expansion as variations the precipitation 1990s, late and the changes Since level lake between Relationship 3.4 here] 3 Table [Insert 7 Posted on Authorea 22 Jun 2020 — The copyright holder is the author/funder. All rights reserved. No reuse without permission. — https://doi.org/10.22541/au.159284833.33805865 — This a preprint and has not been peer reviewed. Data may be preliminary. ftecagn hrceitc fTbtnlksdrn h eid21-08b obnn h traditional the combining by 2016-2018 period systematically the been understanding during whether not our lakes update However, has to Tibetan It investigated 2010-2016. were of unclear. lakes characteristics period inland remains large changing the years 22 of the study, following during tendency this of the reversed in growth in Thus, or the last far. decelerated revealed thus would observations investigated been hiatus finer had or and deceleration TP longer the central the the from in benefiting lakes studies recent more The Conclusions 4 climate atmospheric of other here] heterogeneity different or 9 of event spatial Figure Nina changes obvious Nino/La level [Insert El the water with above, to lake associated change indicated closely due by level As is events. patterns lake dominated change al. circulation event. to rainfall et temporal is Nina anomaly melt Lei and expansion La This glacier 2015; the lake spatial change. of al. of continuous contribution different et impact more the This Kleinherenbrink showed the NWTP, was 2017; lakes than in expansion S1). al. greater distributed lake et widely be (Jiang Fig. but are may study and 2015, glaciers previous 5 Since in in even reported 2017). as (Fig. steadily NWTP (LumajangdongCo, 2017 expanded in teleconnection lakes and NWTP dynamics selected the three 2016 in whereas different The S4), is Lake) in NWTP. that (Fig. in dramatic Heishibei weaker phenomenon events 2015 and 2015) appears a Nina to Caka Nina relative La found and increased Jieze La 2017/2018 here 2011 drastically and We and have (in dynamics changes 2016/2017 shrinkage 2019). level lake the lake lake between al. the the during considerable NTP, et event) in In contrast, (Lei Nino Atlantic expansion studies. In events very (El North lake previous Nino of is 2008). the the El results TP promote (e.g., the during al. from variabilities also the TP et may climate the Wang in in Dipole) other 2001; expansion impact occurred Ocean Juarez ENSO, lake evident Indian and to exert drastic the (Liu addition may that events TP and In Nina TP. Oscillation, see likely (Fig. La increase the Arctic can events that precipitation of Oscillation, we indicates Nina dramatic hydroclimate which exceptions, La the incidents, the found some to 2017/2018 Nina on be due La Despite and remarkable historical also 2016/2017 with also can Nina. consistent the was expansions La NamCo during dramatic Zhari by NTP, Lake of driven the Lexiewudan expansion On Zhari corresponding and The at events, years. found Lake Nina S4). be two La Coring can these 2017/2018 expansion Dogai and and in considerable CTP, at Nino 2016/2017 precipitation the El the In excessive with during S4. with TP Co and well the Seling S3 on and 9, events variations YumCo Fig. Nina Tangra precipitation in NamCo, and Nino/La illustrated lake El as of events, with Nina associations changes La potential precipitation the found and further level We lake TP level of regions. water Associations different in in 3.6 differences sources the main texts, and here] preceding patterns significant 8 the transport a vapor to in Figure internal water led indicated [Insert of different years As by phenomenon different slower, caused rates. in the are are rising distribution because affected CTP rate level transport mainly be eastern rise was water vapor which may and water the are NWTP central in difference in rates In CTP. distinction the difference this rising western the the in the for westerlies, in CTP, lakes reason the occur western of mainly by The divided retention the rates mainly and in rising is circulation m/a. vapor Co TP The 0.40 water Dagze central is than respectively. level in and water less level m/a Namco of lake generally 1.43 Zhari parts increase of and at rapid different rate TP the m/a example, at rising northern Therefore, For 1.34 levels The the in season. lake meltwater. categories. in distributed rainy glacial of two m/a the glaciers and rates into 0.80 in some rainfall rising rainfall exceed are both rich lakes the There by is typical find Ayakkum. affected there some and can and for Lexiewudan TP, we rates Lake, northern 3, rising Mingjing the Table Lake, level and water XijingUlan 6 as The such different. Fig. are in characteristics TP changing shown of above. the as analyzed study, supports as this period TP study In for the level during lake transport and vapor precipitation water of in change the general, 8 Posted on Authorea 22 Jun 2020 — The copyright holder is the author/funder. All rights reserved. No reuse without permission. — https://doi.org/10.22541/au.159284833.33805865 — This a preprint and has not been peer reviewed. Data may be preliminary. enne,F,&Prsn,F 20) naslt airto iefrrdratmtr ntecontinental the in altimeters radar A., for Cazenave, site M., calibration Berge-Nguyen, Asia. absolute Central F., An in Lyard, Issykkul (2009). A., Lake F. Shabunin, domain: Perosanz, V., & GPS D., Romanovski, F., from Moreira, S., altimeters Hernandez, P., radar Calmant, Jason Bonnefond, J.-F., of Cretaux, S., calibration Tashbaeva, Absolute Issykkul. (2011a). Lake F., M. over Perosanz, Berge-Nguyen, campaigns moisture & kinematic V., atmospheric F., Romanovski, of Nino, destination C., S., and Shum, Calmant, origin the J.-F., On altimetry. Plateau. Cretaux, (2012). Tibetan satellite W. the and over Zhang, A. dataset mass & Cottam, water air S., & Yang, surface and X.-D., J.-F., a Xu, Pekel, using the B., B., Chen, analysis Bisselink, 23 volume Sciences, from M., reservoir System Adamovic, and Earth C., collected lake and Schwatke, Hydrology E., global Laboratory are Gelati, A A., Sciences (2019). data Roo, Physical de T., reanalysis NOAA Busker, the ERA-interim and and cma.cn) Reference data (http://data. precipitation https://sentinel.esa.int/web/sentinel/sentinel- Network (https://psl.noaa.gov/data/gridded/data.erainterim.html). from The (http://hydroweb.theia- Meteorological data service China Sentinel-3 Hydroweb and SARAL the the data-access. download ftp://avisoftp.cnes.fr from can We downloaded from respectively. are (https://dahiti.dgfi.tum.de/en), data service DAHITI data the DAHITI and land.fr) and data Hydroweb Statement Availability study. Data for this Forecasts Weather for Medium-Range Dis- data for meteorological Oceanography Centre Mete- and Physical European China data the the altimetry EOSDIS and (CNES), satellite No. NASA System Spatiales providing Service d’Etudes the (Grant the Sharing National (LEGOS), (DAHITI), Data Centre China Spatiales Waters orological (PO.DAAC), Oceanographie Center Research Inland of et Archive Geophysique Active of en and Program tributed 41801321). Series d’Etudes 41971403, Development Laboratoire Expedition Time (No. the China China Hydrological to and of Scientific Foundation grateful in (Grant Science also Research Natural Program Plateau Sciences are National Talents We the Key of Young and Tibetan Y7QR011001), Academy Thousand National No. Chinese Second the (Grant the the 2018YFD1100101), the of 2018YFD0900804, XDA23100102), 2019YFA0607101, Program by Research funded Priority No. Strategic partly the study. was (2019QZKK0202), further the the work climate of the in future clarify understanding changes under This to our level cycle required transport lake hydrological for are vapor and Tibetan processes beneficial lakes physical water of be precise Tibetan mechanism driving of could of climate-driven investigations by study rise comprehensive level precipitation this more water conditions, Although anomalous rapid change circulations the the years. atmospheric of different to The mechanism with contribute driving circulation. vary precipitation may atmospheric of but AO changes large-scale TP, the the and of by to caused ENSO each related primarily from as were be different rates such may rise extremely in stable which level lakes are TP, a lake three Lake) kept the the the increasing of TP over Heishibei for differences northeastern rates dramatic and spatial are the rising Caka The the level of changes in Jieze water other. Lake level from rate The (LumajangdongCo, Qinghai lake average different TP 0.47m/a. for the reaching an northwestern is level TP, years, the water with which recent central The the rise TP. the 2016-2018, during northern sharply In tendency period the growth a lake). in the displayed lakes upstream during NTP for its categories pattern the of two in (outburst into levels Lake the divided water Kusai but lake except 2010-2016, lakes. the m/a lake during and TP, 0.90 that stage subzones the reveal with earlier in varied results the lakes rise Our most with level For compared water TP. of the 2016-2018, climate in magnitudes during potential changes and rise the lake onsets abrupt of explore an tendency will varying showed we recent levels Furthermore, the of measurements. mechanism driving altimetry radar recently-advanced and hoeia n ple lmtlg,110 Climatology, Applied and Theoretical ora fGoey 83 Geodesy, of Journal aieGoey 34 Geodesy, Marine 669-690 , 9 291-318 , 723-735 , Acknowledgments: 423-435 , Posted on Authorea 22 Jun 2020 — The copyright holder is the author/funder. All rights reserved. No reuse without permission. — https://doi.org/10.22541/au.159284833.33805865 — This a preprint and has not been peer reviewed. Data may be preliminary. u . rnet,KE,Qn . ag . a,L 21) eetn ogtr rnsi precipitable in trends long-term observations. Detecting MODIS and (2015). station L. of Yao, synthesis & by K., Plateau 1707-1722 Yang, Tibetan NDVI. J., the using Qin, over Brazil water K.E., northeast Trenberth, in level N., prediction lake Lu, onset 22 Extreme drought Sensing, ENSO (2019). Remote of N. (2001). Journal Ma, R.N. tional & Juarez, & J., W., Nino. Zhai, Liu, El X., 2015/2016 Zhang, the K., with Yang, associated mass T., Plateau 5889-5898 Yao, regional Tibetan B., the with Wang, on relationship changes Zhang, Y., varying & Zhu, their L., Y., Zhu, and X., Lei, Plateau Zhang, Tibetan B.W., hydrology. Bird, lake the S., local inland across Yi, and of seasonality M., changes Response Lake Kleinherenbrink, Y., (2014). Sheng, (2017). L. K., G. Tian, Yang, and & T., reservoirs Yao, G., change. Y., lakes, Zhang, climate Lei, B.W., to of Bird, Plateau database Y., Tibetan global Sheng, the over B., a Wang, dynamics of K., validation Yang, Y., and Lei, Development (2004). P. Doll, Tibetan . the & waveforms. on B., SARIn changes level Cryosat Lehner, lake retracking of by Monitoring Shan geoid (2015). Tian P. local and Ditmar, of Plateau & Influence R., Lindenbergh, Namco. (2019). M., Lake P. Kleinherenbrink, for Bauer-Gottwein, altimetry & multi-mission 221 from G., Environment, derived of Zhang, estimates Sensing elevation K., surface Nielsen, water B., on variation O. variations data. level Andersen, satellite lake mode L., recent multiple SARIn Monitoring Jiang, CryoSat-2 of (2017). using P. Evaluation Plateau Bauer-Gottwein, Tibetan & the O.B., (2013). Andersen, on floods. B. K., river Nielsen, and Gouweleeuw, L., bodies & Jiang, water K., inland studying Johansen, for altimeters. data J.N., altimetry Jason-2 Callow, level and Lake A.A., ICESat, (2019). Jarihani, SARAL, Y. Pan, Cryosat-2, & from Lake W.-B., 30 Shen, Plateau Cottonwood Sci, Y.-R., in Tibetan Ocean Huang, Severity 2009 the G., Drought Zhang, to in Palmer W.-H., 1910 changes Yang, of Y.-S., from Integration Cheng, surface C., (2011). water Hwang, S. simulate Liu, to & Dakota. data G., North using area, sensing Chander, Plateau remote C., Qinghai–Tibetan Young, and the D., Index in changes Dahal, lake-level S., Monitoring Huang, (2013). sentinel-3 G. (2002–2012). (GMES) data Shen, security altimeter & radar and J., environment Liao, for L., monitoring Gao, Laur, global U., The Klein, P., Goryl, (2012). J., Frerick, C. mission. P., Femenias, Mavrocordatos, M.-H., N. Ferreira, & Giesen, A., In, H., De Buongiorno, Van space. B., & from Berruti, T., C., dynamics Erickson, Donlon, lake the N., and of Gorelick, reservoir H., performance Earth’s Winsemius, and Monitoring J., Configuration Schellekens, (2016). M., D., reanalysis: Balmaseda, Eilander, G., U., ERA-Interim Donchyts, Andrae, The S., Kobayashi, (2011). P., system. Time d.P. Poli, assimilation Real Bauer, P., data Near Berrisford, & the A., in G., monitor Simmons, Balsamo, to S.M., database data. M.-C., Uppala, lake sensing D.P., Gennero, A remote Dee, M., SOLS: from Berge-Nguyen, variations (2011b). V., storage A. Cazenave, Vuglinski, and & level A., R.A., water Kouraev, Rio, S., Del Calmant, F., Nino, W., Jelinski, J.-F., Cretaux, eoeSnigo niomn,120 Environment, of Sensing Remote ora fHdooy 296 Hydrology, of Journal 1-18 , eoeSnigo niomn,115 Environment, of Sensing Remote urel ora fterylmtoooia oit,137 society, meteorological royal the of Journal Quarterly epyia eerhLtes 44 Letters, Research Geophysical 65-79. , ora fApidRmt esn,7 Sensing, Remote Applied of Journal 1-22 , 3483-3501 , 37-57 , 10 lmtccag,125 change, Climatic 3377-3389 , ora fhdooy 544 hydrology, of Journal dacsi pc eerh 47 research, space in Advances 892-900 , ora fHdooy 505 Hydrology, of Journal ora fhdooy 521 hydrology, of Journal G alMeigAbstracts Meeting Fall AGU 073470 , epyia eerhLtes 46 Letters, Research Geophysical 281-290 , ora fCiae 28 Climate, of Journal 553-597 , 109-124 , 119-131 , 78-90 , 1497-1507 , er Atmos. Terr. Interna- Remote , , Posted on Authorea 22 Jun 2020 — The copyright holder is the author/funder. All rights reserved. No reuse without permission. — https://doi.org/10.22541/au.159284833.33805865 — This a preprint and has not been peer reviewed. Data may be preliminary. og . e . hn,Y,&Gn,T 21b.Cmie CStadCySt2atmtyfraccessing for altimetry Tibetan CryoSat-2 central and ICESat the Combined 2003–2014. in over (2015b). Namco lakes T. Tibetan of Gong, of variation & dynamics water-level Y., level Sheng, in water Q., observations. Shifts Ye, station C., and (2015a). Song, the altimetry X. on CryoSat-2 and Cheng, expansion ICESat lake & from Accelerated Q., Plateau Ye, (2014b). processes? C., V. other Song, Phan, or melting Hien glacial & by L., Induced 3170-3186 Ke, 2000s: , environment the K., in water Richards, Plateau lake B., Tibetan alpine Huang, of C., sensing Song, Remote (2014a). review. Tibetan K.S. A the Richards, 92 surroundings: on and Sensing, & Plateau changes L., Tibetan storage the Ke, water on lake changes B., of Huang, analysis C., and Song, Modeling data. (2013). satellite L. multi-mission lakes. Ke, using arctic & Plateau B., Disappearing Huang, (2005). C., L. Song, Hinzman, & G., coefficient attenuation MacDonald, diffuse 1429-1429 Y., of Sheng, sensing L.C., data. Remote Smith, MERIS (2014). using B. Taihu Qin, Lake & in M., 140 radiation Wang, lake active X., Representative photosynthetically Liu, of (2016). Y., imagery. F. Zhang, Landsat-8 Gao, K., multi-temporal & Shi, J.S., using Cox, scales B.R., continental Knox, 185 at E.A., environment, Lyons, mapping J., extent Wang, water C., Song, Y., Sheng, altimetry. estimating satellite for multi-mission approach innovative using 19 DAHITI–an waters their Sciences, inland (2015). and over F. series changes Seitz, time storage & level water W., water Bosch, lake D., Plateau. in Dettmering, differences Tibetan C., Schwatke, Temporal-spatial the throughout (2019). Qinghai-Xizang change Analysis R. Temperature climate the temperature Yang, Surface to & in and Sea links L., Foundation Altitude 2006 Zhu, Global to B., MUR (2011). 4 Qiao, 1982 Y. Level Tang, from GHRSST & date (2010). J., J.M.M. green-up Project, Liu, vegetation P., spring Ciais, the X., in Wang, Plateau. change A., Chen, of M., dependence Cui, observed S., as Piao, changes level lake Tibetan in trends 1 Seasonal Sciences, surface altimetry. (2012). global laser M. of ICESat Menenti, mapping by & R., High-resolution Lindenbergh, (2016). V., Phan, A.S. Belward, changes. & long-term its N., and and Gorelick, progress water A., Challenges, Cottam, waters: J.-F., (2018). inland J. Pekel, of Wu, sensing & Elsevier Remote H., In: (2015). Gao, P.D. B., directions. Hunter, processes. Chen, future & and K., T., changes Patterns Song, Kutser, of L., S.C., lakes: half-century Palmer, Li, Tibetan A J.R., on Thompson, (2010). change H., G. climate Yang, Li, of & H., Impacts Yang, J., Z., Jiang, Wang, influence? W., D., human Ju, Mao, or A., warming Li, Global X., water Feng, lakes: Lake C., China’s (2017). Hu, in G. H., Zhang, Duan, & product. R., X., MOD09Q1 Ma, Li, MODIS J., the Meng, using Z., Plateau Zhai, M.H.A., Tibetan 224-233 Baig, the Y., in Wei, mapping L., Zhang, surface L., Jia, S., Lu, 365-377 , giutrladFrs eerlg,151 Meteorology, Forest and Agricultural 237-242 , 26-37 , 4345-4364 , 129-141 , SR naso h htgamty eoeSnigadSailInformation Spatial and Sensing Remote Photogrammetry, the of Annals ISPRS aue 540 Nature, eoesnigo niomn,135 environment, of sensing Remote 418-422 , 1599-1608 , 11 ae,7 Water, epyia eerhLtes 37 Letters, Research Geophysical eoesnigo niomn,222 environment, of sensing Remote SR ora fPoormer n Remote and Photogrammetry of Journal ISPRS 4685-4700 , eoeSnig 10 Sensing, Remote cec ultn 60 Bulletin, Science eoeSnigo Environment, of Sensing Remote ae eore eerh 50 Research, Resources Water yrlg n at System Earth and Hydrology eoesnigltes 8 letters, sensing Remote 25-35 , eoesnigof sensing Remote 358 , cec,308 Science, 1287-1297 , 232-243 , , , Posted on Authorea 22 Jun 2020 — The copyright holder is the author/funder. All rights reserved. No reuse without permission. — https://doi.org/10.22541/au.159284833.33805865 — This a preprint and has not been peer reviewed. Data may be preliminary. driving-force-analyses factors influence hydrologic-behavior-of-tibetan-lakes-inferred-from-multi-mission-altimetry-and-its- the and Plateau. variations Tibetan Table1.docx area the lake of basin of Co analysis file Nam Quantitative Hosted the (2010). in (2019). 2004 Y. W. Wu, to Chen, 1971 & & Asia. from Central C., M., River, Chang, Xie, Darya T., L., Syr Chen, Zhu, the L., of Jiang, headwaters Tibetan H., the the Guo, 176 in H., across Change, lakes Xie, abundance mountain Planetary G., high and Zhang, of state J., growth Lakes’ Li, Sustained A., (2014). Bao, F. Tibetan G., Zhu, the Zheng, & on K., changes level Zhang, lake H., Monitoring Xie, Plateau. T., (2011). Yao, Tibetan S.F. G., Ackley, the Zhang, & on (2003–2009). D., expansion data lake altimetry Yi, variable ICESat S., but using Kang, Plateau robust H., A Xie, G., (2019). Zhang, G. Zheng, & W., Chen, on Plateau. variation W., storage Luo, millennium. Lake new G., the Zhang, (2018). since J.-F. change climate Cretaux, 13 to Letters, & Research attribution B.A., Environmental its Walter, and C., Plateau Wang, Tibetan K., of endorheic Yang, series the J., time Wang, cycle high-frequency imagery. hydrological long-term F., Landsat Constructing Yao, of using Response (2019). areas J.-F. reservoir (2011). Cretaux, and Z. & lake Zhou, C., global Wang, & J., J., Wang, Plateau. Qin, F., Tibetan Tibetan Yao, T., the the Foken, in over B., changes changes Wu, climate climate D., review. recent Recent Zhou, A to (2014). B., cycle: Y. Ye, water Chen, K., and & Yang, temperature energy W., Plateau—regional on Tang, impacts Tibetan C., their Lin, the and J., in Plateau Qin, climate (2013). H., of Wu, X. trend K., Li, Decadal Yang, & (2008). F., J. Sun, Li, H., precipitation. & Huang, and T., Z., Gong, Luo, Z., data. Z., Xu, ICESat/GLAS Niu, from X., determined Cheng, lakes 132 large Y., ronment, China’s Xu, in Y., changes Zhao, Water-level the P., on Gong, ENSO X., of Wang, impact the on 35 PDO Letters, of Research Geophysical modulation Interdecadal (2008). monsoon. R. winter Huang, Asian & East W., storages. Chen, water L., basin Wang, Schmied, endorheic F., in Brun, decline G.M., global MacDonald, Recent Y., Basin Sheng, (2018). 11 Yangtze J.S., R.A. Famiglietti, the Marston, F., Yao, across & J.T., H.M., dynamics Reager, lake data C., Song, lake decadal J., A Monitoring Wang, (2016). Dam. (2014). X. Gorges T.S.D. Gu, Three Tong, & 2014. of Z., & and downstream Han, Y., 2005, H., Sheng, 1960s, Duan, J., P., the Wang, Xiao, from Y., Plateau Yuan, Tibetan Y., the Ma, for Y., set Hong, D., Science. Long, Systems W., Earth Wan, from contributions potential and 64 assessment Sciences, water Aquatic Global (2002). C.J. Vorosmarty, 926-932 , hns cec ultn 59 Bulletin, Science Chinese 64 Bulletin, Science 131-144 , vial at available yrlgclPoess nItrainlJunl 22 Journal, International An Processes: Hydrological 328-351 , 84-99 , https://authorea.com/users/335715/articles/461532-recent-abnormal- 1306-1309 , eoeSnigo niomn,152 Environment, of Sensing Remote 3010-3021 , lmtccag,109 change, Climatic eoesnigo niomn,115 environment, of sensing Remote 12 eoeSnigo niomn,232 Environment, of Sensing Remote cetfi aa 3 data, Scientific hns cec ultn 55 Bulletin, Science Chinese lbladPaeayCag,112 Change, Planetary and Global 3056-3065 , 517-534 , 251-269 , 1-13 , eoesnigo envi- of sensing Remote aueGeoscience, Nature 1733-1742 , 111210 , 1294-1303 , lbland Global 79-91 , Posted on Authorea 22 Jun 2020 — The copyright holder is the author/funder. All rights reserved. No reuse without permission. — https://doi.org/10.22541/au.159284833.33805865 — This a preprint and has not been peer reviewed. Data may be preliminary. driving-force-analyses hydrologic-behavior-of-tibetan-lakes-inferred-from-multi-mission-altimetry-and-its- Table3.docx file Hosted driving-force-analyses hydrologic-behavior-of-tibetan-lakes-inferred-from-multi-mission-altimetry-and-its- Table2.docx file Hosted vial at available at available https://authorea.com/users/335715/articles/461532-recent-abnormal- https://authorea.com/users/335715/articles/461532-recent-abnormal- 13 Posted on Authorea 22 Jun 2020 — The copyright holder is the author/funder. All rights reserved. No reuse without permission. — https://doi.org/10.22541/au.159284833.33805865 — This a preprint and has not been peer reviewed. Data may be preliminary. 14 Posted on Authorea 22 Jun 2020 — The copyright holder is the author/funder. All rights reserved. No reuse without permission. — https://doi.org/10.22541/au.159284833.33805865 — This a preprint and has not been peer reviewed. 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