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Evaluation of Multiple Satellite Precipitation Products and Their Use in Hydrological Modelling Over the Luanhe River Basin, China
water Article Evaluation of Multiple Satellite Precipitation Products and Their Use in Hydrological Modelling over the Luanhe River Basin, China Peizhen Ren, Jianzhu Li *, Ping Feng, Yuangang Guo and Qiushuang Ma State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300350, China; [email protected] (P.R.); [email protected] (P.F.); [email protected] (Y.G.); [email protected] (Q.M.) * Correspondence: [email protected]; Tel.: +86-136-2215-1558 Received: 26 March 2018; Accepted: 14 May 2018; Published: 24 May 2018 Abstract: Satellite precipitation products are unique sources of precipitation measurement that overcome spatial and temporal limitations, but their precision differs in specific catchments and climate zones. The purpose of this study is to evaluate the precipitation data derived from the Tropical Rainfall Measuring Mission (TRMM) 3B42RT, TRMM 3B42, and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) products over the Luanhe River basin, North China, from 2001 to 2012. Subsequently, we further explore the performances of these products in hydrological models using the Soil and Water Assessment Tool (SWAT) model with parameter and prediction uncertainty analyses. The results show that 3B42 and 3B42RT overestimate precipitation, with BIAs values of 20.17% and 62.80%, respectively, while PERSIANN underestimates precipitation with a BIAs of −6.38%. Overall, 3B42 has the smallest RMSE and MAE and the highest CC values on both daily and monthly scales and performs better than PERSIANN, followed by 3B42RT. The results of the hydrological evaluation suggest that precipitation is a critical source of uncertainty in the SWAT model, and different precipitation values result in parameter uncertainty, which propagates to prediction and water resource management uncertainties. -
Use of Simulated Reflectances Over Bright Desert
This article was downloaded by: [European Space Agency] On: 06 August 2014, At: 01:49 Publisher: Taylor & Francis Informa Ltd Registered in England and Wales Registered Number: 1072954 Registered office: Mortimer House, 37-41 Mortimer Street, London W1T 3JH, UK Remote Sensing Letters Publication details, including instructions for authors and subscription information: http://www.tandfonline.com/loi/trsl20 Use of simulated reflectances over bright desert target as an absolute calibration reference Yves Govaerts a , Sindy Sterckx b & Stefan Adriaensen b a Govaerts Consulting , Brussels , Belgium b VITO, Centre for Remote Sensing and Earth Observation , Mol , Belgium Published online: 05 Feb 2013. To cite this article: Yves Govaerts , Sindy Sterckx & Stefan Adriaensen (2013) Use of simulated reflectances over bright desert target as an absolute calibration reference, Remote Sensing Letters, 4:6, 523-531, DOI: 10.1080/2150704X.2013.764026 To link to this article: http://dx.doi.org/10.1080/2150704X.2013.764026 PLEASE SCROLL DOWN FOR ARTICLE Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in the publications on our platform. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Taylor and Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to or arising out of the use of the Content. -
Diurnal Variation of Stratospheric Hocl, Clo and HO2 at the Equator
Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | Atmos. Chem. Phys. Discuss., 12, 21065–21104, 2012 Atmospheric www.atmos-chem-phys-discuss.net/12/21065/2012/ Chemistry doi:10.5194/acpd-12-21065-2012 and Physics © Author(s) 2012. CC Attribution 3.0 License. Discussions This discussion paper is/has been under review for the journal Atmospheric Chemistry and Physics (ACP). Please refer to the corresponding final paper in ACP if available. Diurnal variation of stratospheric HOCl, ClO and HO2 at the equator: comparison of 1-D model calculations with measurements of satellite instruments M. Khosravi1, P. Baron2, J. Urban1, L. Froidevaux3, A. I. Jonsson4, Y. Kasai2,5, K. Kuribayashi2,5, C. Mitsuda6, D. P. Murtagh1, H. Sagawa2, M. L. Santee3, T. O. Sato2,5, M. Shiotani7, M. Suzuki8, T. von Clarmann9, K. A. Walker4, and S. Wang3 1Department of Earth and Space Sciences, Chalmers University of Technology, Gothenburg, Sweden 2National Institute of Information and Communications Technology, Tokyo, Japan 3Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA 4Tokyo Institute of Technology, Kanagawa, Japan 5Tokyo Institute of Technology, Yokohama, Japan 6Fujitsu FIP Corporation, Tokyo, Japan 7Research Institute for Sustainable Humanosphere, Kyoto University, Kyoto, Japan 8Japan Aerospace Exploration Agency, Ibaraki, Japan 21065 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | 9Karlsruhe Institute of Technology, Institute for Meteorology and Climate Research, Karlsruhe, Germany Received: 10 May 2012 – Accepted: 20 July 2012 – Published: 20 August 2012 Correspondence to: M. Khosravi ([email protected]) Published by Copernicus Publications on behalf of the European Geosciences Union. 21066 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | Abstract The diurnal variation of HOCl and the related species ClO, HO2 and HCl mea- sured by satellites has been compared with the results of a one-dimensional pho- tochemical model. -
Articles Upon the Hox Family by Comparing Averages of Days Impacted by These Events with Averages of Non-Impacted 3945–3977, Doi:10.5194/Acp-13-3945-2013, 2013
Atmos. Chem. Phys., 15, 2889–2902, 2015 www.atmos-chem-phys.net/15/2889/2015/ doi:10.5194/acp-15-2889-2015 © Author(s) 2015. CC Attribution 3.0 License. Stratospheric and mesospheric HO2 observations from the Aura Microwave Limb Sounder L. Millán1,2, S. Wang2, N. Livesey2, D. Kinnison3, H. Sagawa4, and Y. Kasai4 1Joint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles, California, USA 2Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA 3National Center for Atmospheric Research, Boulder, Colorado, USA 4National Institute of Information and Communications Technology, Koganei, Tokyo, Japan Correspondence to: L. Millán ([email protected]) Received: 18 June 2014 – Published in Atmos. Chem. Phys. Discuss.: 8 September 2014 Revised: 17 February 2015 – Accepted: 24 February 2015 – Published: 13 March 2015 Abstract. This study introduces stratospheric and meso- sphere where O3 chemistry is controlled by catalytic cycles spheric hydroperoxyl radical (HO2) estimates from the Aura involving the HOx (HO2, OH and H) family (Brasseur and Microwave Limb Sounder (MLS) using an offline retrieval Solomon, 2005): (i.e. run separately from the standard MLS algorithm). This new data set provides two daily zonal averages, one during X C O3 ! XO C O2 (R1) daytime from 10 to 0.0032 hPa (using day-minus-night dif- O C XO ! O2 C X; (R2) ferences between 10 and 1 hPa to ameliorate systematic bi- ases) and one during nighttime from 1 to 0.0032 hPa. The where the net effect of these two reactions is simply vertical resolution of this new data set varies from about 4 km O C O ! 2O (R3) at 10 hPa to around 14 km at 0.0032 hPa. -
The Space-Based Global Observing System in 2010 (GOS-2010)
WMO Space Programme SP-7 The Space-based Global Observing For more information, please contact: System in 2010 (GOS-2010) World Meteorological Organization 7 bis, avenue de la Paix – P.O. Box 2300 – CH 1211 Geneva 2 – Switzerland www.wmo.int WMO Space Programme Office Tel.: +41 (0) 22 730 85 19 – Fax: +41 (0) 22 730 84 74 E-mail: [email protected] Website: www.wmo.int/pages/prog/sat/ WMO-TD No. 1513 WMO Space Programme SP-7 The Space-based Global Observing System in 2010 (GOS-2010) WMO/TD-No. 1513 2010 © World Meteorological Organization, 2010 The right of publication in print, electronic and any other form and in any language is reserved by WMO. Short extracts from WMO publications may be reproduced without authorization, provided that the complete source is clearly indicated. Editorial correspondence and requests to publish, reproduce or translate these publication in part or in whole should be addressed to: Chairperson, Publications Board World Meteorological Organization (WMO) 7 bis, avenue de la Paix Tel.: +41 (0)22 730 84 03 P.O. Box No. 2300 Fax: +41 (0)22 730 80 40 CH-1211 Geneva 2, Switzerland E-mail: [email protected] FOREWORD The launching of the world's first artificial satellite on 4 October 1957 ushered a new era of unprecedented scientific and technological achievements. And it was indeed a fortunate coincidence that the ninth session of the WMO Executive Committee – known today as the WMO Executive Council (EC) – was in progress precisely at this moment, for the EC members were very quick to realize that satellite technology held the promise to expand the volume of meteorological data and to fill the notable gaps where land-based observations were not readily available. -
Cloudsat CALIPSO
www.nasa.gov andSpaceAdministration National Aeronautics & CloudSat CALIPSO Clean air is important to everyone’s health and well-being. Clean air is vital to life on Earth. An average adult breathes more than 3000 gallons of air every day. In some places, the air we breathe is polluted. Human activities such as driving cars and trucks, burning coal and oil, and manufacturing chemicals release gases and small particles known as aerosols into the atmosphere. Natural processes such as for- est fires and wind-blown desert dust also produce large amounts of aerosols, but roughly half of the to- tal aerosols worldwide results from human activities. Aerosol particles are so small they can remain sus- pended in the air for days or weeks. Smaller aerosols can be breathed into the lungs. In high enough con- centrations, pollution aerosols can threaten human health. Aerosols can also impact our environment. Aerosols reflect sunlight back to space, cooling the Earth’s surface and some types of aerosols also absorb sunlight—heating the atmosphere. Because clouds form on aerosol particles, changes in aerosols can change clouds and even precipitation. These effects can change atmospheric circulation patterns, and, over time, even the Earth’s climate. The Air We Breathe The Air We We need better information, on a global scale from satellites, on where aerosols are produced and where they go. Aerosols can be carried through the atmosphere-traveling hundreds or thousands of miles from their sources. We need this satellite infor- mation to improve daily forecasts of air quality and long-term forecasts of climate change. -
SSC Tenant Meeting: NASA Near Earth Network (NENJ Overview
https://ntrs.nasa.gov/search.jsp?R=20180001495 2019-08-30T12:23:41+00:00Z SSC Tenant Meeting: NASA Near Earth Network (NENJ Overview --- --- ~ I - . - - Project Manager: David Carter Deputy Project Manager: Dave Larsen Chief Engineer: Philip Baldwin Financial Manager: Cristy Wilson Commercial Service Manager: LaMont Ruley ============== February ==============21, 2018 Agenda > NEN Overview > NEN / SSC Relationship > NEN Missions > Future Trends S1ide2 The Near Earth Network (NEN) consists of globally distributed tracking stations that are strategically located throughout the world which provide Telemetry, Tracking, and Commanding (TT&C) services support to a variety of orbital and suborbital flight missions, including Low Earth Orbit (LEO), Geosynchronous Earth Orbit (GEO), highly elliptical, and lunar orbits Network: The NEN is one of.three networks that together comprise the NASA1s Space Communications and Navigation (SCaN) Networks The NEN provides cost-effective, high data rate services from a global set of NASA, commercial, and partner ground stations to a mission set that requires hourly to daily contacts Missions: The NEN provides communication services to: - Earth Science missions such as Aqua, Aura, OC0-2, QuikSCAT, and SMAP - Space Science missions including AIM, FSGT, IRIS, NuSTAR, and Swift - Lunar orbiting missions such as LRO - CubeSat missions including the upcoming CryoCube, iSAT, and SOCON Stations: The NEN consists of several polar stations which are vital to polar orbiting missions since they enable communications services -
FY17 Request/Appropriation
NASA’s Earth Science Division Research Flight Applied Sciences Technology FY17 Program Overview April 2016 1 ESD Budget/Program Overview ESD Budget: FY17 Request/Appropriation • The FY17-21 ESD program is executable and balanced, informed by and consistent with Decadal ESD Total Survey and national Administration priorities: • advances Earth system science $M FY16 (op plan) FY17 FY18 FY19 FY20 FY21 • delivers societal benefit through applications development and testing FY16 PBS $ 1,927 $ 1,966 $ 1,988 $ 2,009 $ 2,027 • provides essential global spaceborne measurements supporting science and operations FY17 PBS $ 2,032 $ 1,990 $ 2,001 $ 2,021 $ 2,048 • develops and demonstrates technologies for next-generation measurements, and • complements and is coordinated with activities of other agencies and international partners • ESD budget jumps significantly in FY17 – then becomes • Funds operations and core data production for on-orbit missions in prime and extended phases, in consistent with FY16 President’s Budget Request for the keeping with 2015 Senior Review recommendations/decisions. Funds NASA portal for Copernicus out-years and other international missions, increasing DAAC capability to host added NASA missions • Completes high priority missions: SAGE-III/ISS, ICESat-2, CYGNSS, GRACE-FO, SWOT, TEMPO, RBI, OMPS-Limb, TSIS-1 and -2, CLARREO Pathfinder, Jason-CS/Sentinel-6A,Landsat-9, NISAR FY17 • Develops (for launch beyond budget window): PACE, Landsat-10, Jason-CS/Sentinel-6B request • Continues all originally planned Venture Class -
NASA Earth Science Research Missions NASA Observing System INNOVATIONS
NASA’s Earth Science Division Research Flight Applied Sciences Technology NASA Earth Science Division Overview AMS Washington Forum 2 Mayl 4, 2017 FY18 President’s Budget Blueprint 3/2017 (Pre)FormulationFormulation FY17 Program of Record (Pre)FormulationFormulation Implementation MAIA (~2021) Implementation MAIA (~2021) Landsat 9 Landsat 9 Primary Ops Primary Ops TROPICS (~2021) (2020) TROPICS (~2021) (2020) Extended Ops PACE (2022) Extended Ops XXPACE (2022) geoCARB (~2021) NISAR (2022) geoCARB (~2021) NISAR (2022) SWOT (2021) SWOT (2021) TEMPO (2018) TEMPO (2018) JPSS-2 (NOAA) JPSS-2 (NOAA) InVEST/Cubesats InVEST/Cubesats Sentinel-6A/B (2020, 2025) RBI, OMPS-Limb (2018) Sentinel-6A/B (2020, 2025) RBI, OMPS-Limb (2018) GRACE-FO (2) (2018) GRACE-FO (2) (2018) MiRaTA (2017) MiRaTA (2017) Earth Science Instruments on ISS: ICESat-2 (2018) Earth Science Instruments on ISS: ICESat-2 (2018) CATS, (2020) RAVAN (2016) CATS, (2020) RAVAN (2016) CYGNSS (>2018) CYGNSS (>2018) LIS, (2020) IceCube (2017) LIS, (2020) IceCube (2017) SAGE III, (2020) ISS HARP (2017) SAGE III, (2020) ISS HARP (2017) SORCE, (2017)NISTAR, EPIC (2019) TEMPEST-D (2018) SORCE, (2017)NISTAR, EPIC (2019) TEMPEST-D (2018) TSIS-1, (2018) TSIS-1, (2018) TCTE (NOAA) (NOAA’S DSCOVR) TCTE (NOAA) (NOAA’SXX DSCOVR) ECOSTRESS, (2017) ECOSTRESS, (2017) QuikSCAT (2017) RainCube (2018*) QuikSCAT (2017) RainCube (2018*) GEDI, (2018) CubeRRT (2018*) GEDI, (2018) CubeRRT (2018*) OCO-3, (2018) CIRiS (2018*) OCOXX-3, (2018) CIRiS (2018*) CLARREO-PF, (2020) EOXX-1 CLARREOXX XX-PF, (2020) EOXX-1 -
(CALIPSO-PARASOL) to Evaluate Tropical Cloud Properties in the LMDZ5 GCM D
Use of A-train satellite observations (CALIPSO-PARASOL) to evaluate tropical cloud properties in the LMDZ5 GCM D. Konsta, J.-L Dufresne, H Chepfer, A Idelkadi, G Cesana To cite this version: D. Konsta, J.-L Dufresne, H Chepfer, A Idelkadi, G Cesana. Use of A-train satellite observations (CALIPSO-PARASOL) to evaluate tropical cloud properties in the LMDZ5 GCM. Climate Dynamics, Springer Verlag, 2016, 47 (3), pp.1263-1284. 10.1007/s00382-015-2900-y. hal-01384436 HAL Id: hal-01384436 https://hal.archives-ouvertes.fr/hal-01384436 Submitted on 19 Oct 2016 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Manuscript Click here to download Manuscript: Use of A.pdf Click here to view linked References 1 Use of A-train satellite observations (CALIPSO-PARASOL) to evaluate tropical cloud properties in the LMDZ5 GCM D. Konsta, J.-L. Dufresne, H. Chepfer, A. Idelkadi, G.Cesana Laboratoire de Météorologie Dynamique (LMD/IPSL), Paris, France LMD/IPSL, UMR 8539, CNRS, Ecole Normale Supérieure, Université Pierre et Marie Curie, Ecole Polytechnique 2 3 4 5 1 6 Abstract 7 The evaluation of key cloud properties such as cloud cover, vertical profile and optical depth as well as the analysis of their 8 intercorrelation lead to greater confidence in climate change projections. -
Quickbird (Digital Globe) Scene Over Purdue Campus, 0.6M
QuickBird (Digital Globe) scene over Purdue campus, 0.6m GSD EROS‐A (ImageSat Int’l) scene over Purdue campus, GSD 2m Example of radiometry outside design limits – specular reflections from car windshields cause saturation and corruption of surrounding pixel data. Quickbird scene over Indianapolis qb_eph_short.txt satId = "QB02"; revNumber = 6984; stripId = "018F24"; type = "R"; version = "A"; generationTime = 2003-01-16T19:58:19.000000Z; startTime = 2003-01-15T16:30:25.613302Z; numPoints = 1536; timeInterval = 0.020; ephemList = ( ( 1, 408384.8844293977000000, -5163749.7635908620000000, 4436609.3965829052000000, -1239.4888535016760000, -5028.7879607649920000, -5720.9589832489428000, 0.0047847180901878, 0.0001857647065552, -0.0004488663884886, 0.0104184982125138, 0.0034951595622186, 0.0033038605521562), ( 2, 408360.0945991199100000, -5163850.3368877340000000, 4436494.9775853315000000, -1239.5137702293241000, -5028.6552395191966000, -5721.0706890709816000, 0.0047847180901878, 0.0001857647065552, -0.0004488663884886, 0.0104184982125138, 0.0034951595622186, 0.0033038605521562), ( 3, 408335.3042634393800000, -5163950.9075712236000000, 4436380.5563067487000000, -1239.5386860655569000, -5028.5225194834038000, -5721.1823886786469000, 0.0047847180901878, 0.0001857647065552, -0.0004488663884886, 0.0104184982125138, 0.0034951595622186, 0.0033038605521562), ( 4, 408310.5134390606000000, -5164051.4755447917000000, 4436266.1328579923000000, -1239.5636011559900000, -5028.3897989066654000, -5721.2940835802046000, 0.0047847180901878, 0.0001857647065552, -
Version 2.2 Level 2 Data Quality and Description Document
JPL D-33509 Earth Observing System (EOS) Aura Microwave Limb Sounder (MLS) Version 2.2 Level 2 data quality and description document. 0 70 N FWHM / km FWHM / km -2 0 2 4 6 8 10 12 0 100 200 300 400 500 600 0.1 1.0 10.0 Pressure / hPa 100.0 1000.0 -0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 -2 -1 0 1 2 Kernel, Integrated kernel Profile number Equator FWHM / km FWHM / km -2 0 2 4 6 8 10 12 0 100 200 300 400 500 600 0.1 1.0 10.0 Pressure / hPa 100.0 1000.0 -0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 -2 -1 0 1 2 Kernel, Integrated kernel Profile number Nathaniel J. Livesey, William G. Read, Alyn Lambert, Richard E. Cofield, David T. Cuddy, Lucien Froidevaux, Ryan A Fuller, Robert F. Jarnot, Jonathan H. Jiang, Yibo B. Jiang, Brian W. Knosp, Laurie J. Kovalenko, Herbert M. Pickett, Hugh C. Pumphrey, Michelle L. Santee, Michael J. Schwartz, Paul C. Stek, Paul A. Wagner, Joe W. Waters, and Dong L. Wu. Version 2.2x-1.0a May 22, 2007 Jet Propulsion Laboratory California Institute of Technology Pasadena, California, 91109-8099 Where to find answers to key questions This document serves two purposes. Firstly, to Do not use data for any profile where the field • summarize the quality of version 2.2 (v2.2) EOS MLS Status is an odd number. Level 2 data.