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Water Vapour Transport to the High Latitudes: Mechanisms And
Water vapour transport to the high latitudes : mechanisms and variability from reanalyses and radiosoundings Ambroise Dufour To cite this version: Ambroise Dufour. Water vapour transport to the high latitudes : mechanisms and variability from reanalyses and radiosoundings. Earth Sciences. Université Grenoble Alpes, 2016. English. NNT : 2016GREAU042. tel-01562031 HAL Id: tel-01562031 https://tel.archives-ouvertes.fr/tel-01562031 Submitted on 13 Jul 2017 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. THÈSE Pour obtenir le grade de DOCTEUR DE L’UNIVERSITÉ DE GRENOBLE Spécialité : Sciences de la Terre et de l’Environnement Arrêté ministériel : 7 août 2006 Présentée par Ambroise DUFOUR Thèse dirigée par Olga ZOLINA préparée au sein du Laboratoire de Glaciologie et Géophysique de l’Environnement et de l’École Doctorale Terre, Univers, Environnement Transport de vapeur d’eau vers les hautes latitudes Mécanismes et variabilité d’après réanalyses et radiosondages Soutenue le 24 mars 2016, devant le jury composé de : M. Christophe GENTHON Directeur de recherche, LGGE, Président M. Stefan BRÖNNIMANN Professeur, Université de Berne, Rapporteur M. Richard P. ALLAN Professeur, Université de Reading, Rapporteur Mme Valérie MASSON-DELMOTTE Directrice de recherche, LSCE, Examinatrice M. -
Moisture Transport in Observations and Reanalyses As a Proxy for Snow
Moisture transport in observations and reanalyses as a proxy for snow accumulation in East Antarctica Ambroise DufourIGE, Claudine CharrondièreIGE, and Olga ZolinaIGE, IORAS IGEInstitut des Géosciences de l’Environnement, CNRS/UGA, Grenoble, France IORASP. P. Shirshov Institute of Oceanology, Russian Academy of Science, Moscow, Russia Correspondence to: Ambroise DUFOUR ([email protected]) Abstract. Atmospheric moisture convergence on ice-sheets provides an estimate of snow accumulation which is critical to quantify sea level changes. In the case of East Antarctica, we computed moisture transport from 1980 to 2016 in five reanalyses and in radiosonde observations. Moisture convergence in reanalyses is more consistent than net preciptation but still ranges from 72 5 to 96 mm per year in the four most recent reanalyses, ERA Interim, NCEP CFSR, JRA 55 and MERRA 2. The representation of long term variability in reanalyses is also inconsistent which justified the resort to observations. Moisture fluxes are measured on a daily basis via radiosondes launched from a network of stations surrounding East Antarc- tica. Observations agree with reanalyses on the major role of extreme advection events and transient eddy fluxes. Although assimilated, the observations reveal processes reanalyses cannot model, some due to a lack of horizontal and vertical resolu- 10 tion especially the oldest, NCEP DOE R2. Additionally, the observational time series are not affected by new satellite data unlike reanalyses. We formed pan-continental estimates of convergence by aggregating anomalies from all available stations. We found statistically significant trends neither in moisture convergence nor in precipitable water. 1 Introduction East Antarctica stores the equivalent of 53.3 m of sea level rise out of the 58.3 for the whole continent (Fretwell et al., 2013). -
Seasonal Cycle of Idealized Polar Clouds: Large Eddy
ESSOAr | https://doi.org/10.1002/essoar.10503204.1 | CC_BY_NC_ND_4.0 | First posted online: Tue, 9 Jun 2020 15:35:29 | This content has not been peer reviewed. manuscript submitted to Journal of Advances in Modeling Earth Systems 1 Seasonal cycle of idealized polar clouds: large eddy 2 simulations driven by a GCM 1 2;3 2 4 3 Xiyue Zhang , Tapio Schneider , Zhaoyi Shen , Kyle G. Pressel , and Ian 5 4 Eisenman 1 5 National Center for Atmospheric Research, Boulder, Colorado, USA 2 6 California Institute of Technology, Pasadena, California, USA 3 7 Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA 4 8 Pacific Northwest National Labratory, Richland, Washington, USA 5 9 Scripps Institution of Oceanography, University of California, San Diego, California, USA 10 Key Points: 11 • LES driven by time-varying large-scale forcing from an idealized GCM is used to 12 simulate the seasonal cycle of Arctic clouds 13 • Simulated low-level cloud liquid is maximal in late summer to early autumn, and 14 minimal in winter, consistent with observations 15 • Large-scale advection provides the main moisture source for cloud liquid and shapes 16 its seasonal cycle Corresponding author: X. Zhang, [email protected] {1{ ESSOAr | https://doi.org/10.1002/essoar.10503204.1 | CC_BY_NC_ND_4.0 | First posted online: Tue, 9 Jun 2020 15:35:29 | This content has not been peer reviewed. manuscript submitted to Journal of Advances in Modeling Earth Systems 17 Abstract 18 The uncertainty in polar cloud feedbacks calls for process understanding of the cloud re- 19 sponse to climate warming. -
1 Supplementary Material the Blue Water Footprint of Electricity from Hydropower B Corresponding Author
Supplementary material The blue water footprint of electricity from hydropower Mesfin M. Mekonnena,b and Arjen Y. Hoekstraa aDepartment of Water Engineering and Management, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands b corresponding author: [email protected] Method The water footprint of electricity (WF, m3/GJ) generated from hydropower is calculated by dividing the amount of water evaporated from the reservoir annually (WE, m3/yr) by the amount of energy generated (EG, GJ/yr): WE WF (1) EG The total volume of evaporated water (WE, m3/yr) from the hydropower reservoir over the year is: 365 WE 10 E A t1 (2) where E is the daily evaporation (mm/day) and A the area of the reservoir (ha). There are a number of methods for the measurement or estimation of evaporation. These methods can be grouped into several categories including (Singh and Xu, 1997): (i) empirical, (ii) water budget, (iii) energy budget, (iv) mass transfer and (v) a combination of the previous methods. Empirical methods relate pan evaporation, actual lake evaporation or lysimeter measurements to meteorological factors using regression analyses. The weakness of these empirical methods is that they have a limited range of applicability. The water budget methods are simple and can potentially provide a more reliable estimate of evaporation, as long as each water budget component is accurately measured. However, owing to difficulties in measuring some of the variables such as the seepage rate in a water system the water budget methods rarely produce reliable results in practice (Lenters et al., 2005, Singh and Xu, 1997). -
Climate Variability and Heat Stress Index Have Increasing Potential Ill-Health and Environmental Impacts in the East London, South Africa
International Journal of Applied Engineering Research ISSN 0973-4562 Volume 12, Number 17 (2017) pp. 6910-6918 © Research India Publications. http://www.ripublication.com Climate Variability and Heat Stress Index have Increasing Potential Ill-health and Environmental Impacts in the East London, South Africa Orimoloye Israel Ropo*, Mazinyo Sonwabo Perez, Nel Werner and Iortyom Enoch T. Department of Geography and Environmental Science, University of Fort Hare, Private Bag X1314, Alice, 5700, Eastern Cape Province, South Africa. *Corresponding author *Orcid ID: 0000-0001-5058-2799 Abstract activities and recent development in the region [3]. Furthermore, an investigation of extreme heat since 2003 in Impacts identified with climate variability and heat stress are Europe demonstrates that a considerable lot of the extremes already obvious in various degrees and expected to be recorded during this occasion are at least double as likely in the disruptive in the near future across the globe. Heat Index 1950s [4, 5]. In North America, there is the expected increment describes the joint impact of temperature and humidity on the in the number of hot days over the region [6]. Moreover, some human body. Therefore, we investigated the trend of relative African nations including South Africa likewise experience the humidity, temperature, heat index, and humidex and their ill effects of the outcomes of climate inconstancy in relation to likelihood impacts on human health in the East London over 3 heat-related threats [7, 8]. decades. Real-time data for daily average maximum temperature and relative humidity between 8:00 GMT and It is well known that the discomfort that occurs in warm 18:00GMT hour for the period of 1986-2016 were retrieved weather depends on the significant degree of temperature and from the South Africa Weather Service and analyzed using the humidity present in the air. -
Installation & Owner's Manual
Sept 2019 Humidex DVS Rev. 1.2En Installation & Owner’s Manual English This Manual Covers the Following Models DVS-CS → Crawl Space DVS-HW → Pony Wall DVS-BS → Basement DVS-CH → Heavy Duty Crawl Space DVS-BH → Heavy Duty Basement Manufactured by: ClairiTech Innovations Inc. 1095 Ohio Rd. Boudreau-Ouest, NB Canada E4P 6N4 Humidex Table of Contents Table of Contents ...................................................................................................................... 1 Service and Warranty ................................................................................................................. 2 FOR CUSTOMER ASSISTANCE ........................................................................................................................ 2 CONSUMER LIMITED WARRANTY ................................................................................................................ 3 Pre-Installation .......................................................................................................................... 4 INCLUDED COMPONENTS ............................................................................................................................. 4 TOOLS REQUIRED FOR INSTALLATION ....................................................................................................... 4 KEY INSTALLATION FACTS ........................................................................................................................... 4 IMPORTANT – WHAT NOT TO DO ......................................................................................................... -
Observational Study of a Diurnal Mesoscale Convective Complex
CRARP 25-02 OBSERVATIONAL STUDY OF A DIURNAL MESOSCALE CONVECTIVE COMPLEX David Novak1 and Edward Shimon National Weather Service Forecasting Office Duluth, Minnesota 1. Introduction The Mesoscale Convective Complex (MCC) has been described by Maddox (1980), Bosart and Sanders (1981), and Maddox (1983) as a unique class of intense convection organized on the meso-alpha scale, which occurs primarily in the central United States during the convective season. Fritsch et al. (1981) and Wetzel (1983) showed that MCCs produce locally intense rainfall, large hail, and damaging winds, requiring coincident operational warnings of both severe weather and flash flooding. In contrast to most convection MCCs are distinctly nocturnal (Maddox 1983). Augustine and Caracena (1994) as well as McAnelly and Cotton (1986) have shown that MCCs commence from afternoon thunderstorms in the western Great Plains that organize and continue to develop at night into MCCs. Physically, this nocturnal preference has been linked to the Low Level Jet (LLJ) (Maddox 1980; Wetzel 1983; Maddox 1983), which enhances warm air advection and the flux of moist, unstable air into the system. Composites from Maddox (1983) confirm that MCCs reach maximum size around local midnight, corresponding with the strongest LLJ, and weaken during the morning hours when the LLJ typically weakens (Fig. 1). In contrast to this widely confirmed characteristic of MCCs, convection on 14 August 2000 organized during the early morning in eastern North Dakota, reached maximum intensity and organization during the day across northern Minnesota and northern Wisconsin, and then slowly weakened during the early morning hours of 15 August in central Wisconsin. -
Oak Lawn Tornado 1967 an Analysis of the Northern Illinois Tornado Outbreak of April 21St, 1967 Oak Lawn History
Oak Lawn Tornado 1967 An analysis of the Northern Illinois Tornado Outbreak of April 21st, 1967 Oak Lawn History • First Established in the 1840s and 1850s • School house first built in 1860 • Immigrants came after the civil war • Post office first established in 1882 • Innovative development plan began in 1927 • Population exponentially grew up to the year of 1967 Path of the Storm • The damage path spanned from Palos, Illinois (about 2-3 miles west/southwest of Oak Lawn) to Lake Michigan. With the worst damage occurring in the Oak Lawn area. Specifically, the corner of 95th street and Southwest Highway • Other places that received Significant damage includes: 89th and Kedzie Avenue 88th and California Avenue Near the Dan Ryan at 83rd Street Timing (All times below are in CST on April 21st, 1967) • 8 AM – Thunderstorms develop around the borders of Iowa, Nebraska, Kansas, and Missouri • 4:45 PM – Cell is first indicated on radar (18 miles west/northwest of Joliet) • 5:15 PM – rotating clouds reported 10 miles north of Joliet • 5:18 PM – Restaurant at the corner of McCarthy Road and 127th Street had their windows blown out • 5:24 PM – Funnel Cloud reported (Touchdown confirmed) • 5:26 PM – Storm continues Northeast and crosses Roberts Road between 101st and 102nd streets • 5:32 PM - Tornado cause worst damage at 95th street and Southwest highway • 5:33 PM – Tornado causes damage to Hometown City Hall • 5:34 PM – Tornado passes grounds of Beverly Hills Country Club • 5:35 PM – Tornado crosses Dan Ryan Expressway and flips over a semi • 5:39 PM – Tornado passes Filtration plant at 78th and Lake Michigan and Dissipates Notable Areas Destroyed •Fairway Supermarket •Sherwood Restaurant •Shoot’s Lynwood Tavern •Suburban Bus Terminal •Airway Trailer Park •Oak Lawn Roller Rink •Plenty More! Pictures to the right were taken BEFORE the twister 52 Total Tornadoes in 6 states (5 EF4’s including the Oak Lawn, Belvidere, and Lake Zurich Tornadoes) Oak Lawn Tornado Blue = EF4 Next several slides summary • The next several slides, I will be going through different parameters. -
Epidemiologic Study of Mortality During the Summer of 2003 in Italy
P 1.8 EPIDEMIOLOGIC STUDY OF MORTALITY DURING THE SUMMER OF 2003 IN ITALY Susanna Conti *,Paola Meli *, Giada Minelli *, Renata So limini * Virgilia Toccaceli *, Monica Vichi *, M. Carmen Beltrano °° , Luigi Perini ° *National Centre of Epidemiology - Italian High er Institute for Health, Rome, Italy (°) Ufficio Centrale di Ecologia Agraria, Roma – Italy 1. INTRODUCTION the temperature (and humidity) are high and Italy is characterized by Mediterranean climate: persistent also during the night, compared with this sort of climate is usually defined temperate. those living in suburban and rural areas (“urban Seasons are clearly drawn: winter is generally heat island effect”). Heat-wave maximum effects moderate cold, spring is rainy with sunny days, essentially regard old people: there is an increase summer is warm and dry, autumn is almost of their mortality percentage because they have a cloudless, quite rainy, but never severe. During the reduced ability to thermo-regulate body temperature summer there are scarce or null rainfall and and their sweating threshold is generally more temperatures are not usually higher than 35°C. elevated than younger people; moreover, they are Rarely there are meteorological extreme events and affected by other risk-factors linked to the high generally they regard limited areas. frequency of disability, disease, and loneliness. Heat-waves can be defined as extreme and exceptional events, but it has been observed that in the last decades they became more frequent in 2. MATERIALS AND METHODS different parts -
A Simple Moisture Advection Model of Specific Humidity
1NOVEMBER 2016 C HADWICK ET AL. 7613 A Simple Moisture Advection Model of Specific Humidity Change over Land in Response to SST Warming ROBIN CHADWICK,PETER GOOD, AND KATE WILLETT Met Office Hadley Centre, Exeter, United Kingdom (Manuscript received 24 March 2016, in final form 25 July 2016) ABSTRACT A simple conceptual model of surface specific humidity change (Dq) over land is described, based on the effect of increased moisture advection from the oceans in response to sea surface temperature (SST) warming. In this model, future q over land is determined by scaling the present-day pattern of land q by the fractional increase in the oceanic moisture source. Simple model estimates agree well with climate model projections of future Dq (mean spatial correlation coefficient 0.87), so Dq over both land and ocean can be viewed primarily as a thermodynamic process controlled by SST warming. Precipitation change (DP) is also affected by Dq, and the new simple model can be included in a decomposition of tropical precipitation change, where it provides increased physical understanding of the processes that drive DP over land. Confidence in the thermodynamic part of extreme precipitation change over land is increased by this improved understanding, and this should scale approximately with Clausius–Clapeyron oceanic q increases under SST warming. Residuals of actual climate model Dq from simple model estimates are often associated with regions of large circulation change, and can be thought of as the ‘‘dynamical’’ part of specific humidity change. The simple model is used to explore intermodel uncertainty in Dq, and there are substantial contributions to uncertainty from both the thermodynamic (simple model) and dynamical (residual) terms. -
OBSERVATIONAL ANALYSIS of the PREDICTABILITY of MESOSCALE CONVECTIVE SYSTEMS by Israel L
National Science Foundation Graduate Fellowship DGE-0234615 and Grant ATM-0324324 OBSERVATIONAL ANALYSIS OF THE PREDICTABILITY OF MESOSCALE CONVECTIVE SYSTEMS by Israel L. Jirak William R. Cotton, P.I. OBSERVATIONAL ANALYSIS OF THE PREDICTABILITY OF MESOSCALE CONVECTIVE SYSTEMS by Israel L. Jirak Department of Atmospheric Science Colorado State University Fort Collins, Colorado 80523 Research Supported by National Science Foundation under a Graduate Fellowship DGE-0234615 and Grant ATM-0324324 October 27, 2006 Atmospheric Science Paper No. 778 ABSTRACT OBSERVATIONAL ANALYSIS OF THE PREDICTABILITY OF MESOSCALE CONVECTIVE SYSTEMS Mesoscale convective systems (MCSs) have a large influence on the weather over the central United States during the warm season by generating essential rainfall and severe weather. To gain insight into the predictability of these systems, the precursor environment of several hundred MCSs were thoroughly studied across the U.S. during the warm seasons of 1996-98. Surface analyses were used to identify triggering mechanisms for each system, and North American Regional Reanalyses (NARR) were used to examine dozens of parameters prior to MCS development. Statistical and composite analyses of these parameters were performed to extract valuable information about the environments in which MCSs form. Similarly, environments that are unable to support organized convective systems were also carefully investigated for comparison with MCS precursor environments. The analysis of these distinct environmental conditions led to the discovery of significant differences between environments that support MCS development and those that do not support convective organization. MCSs were most commonly initiated by frontal boundaries; however, such features that enhance convective initiation are often not sufficient for MCS development, as the environment needs to lend additional support for the development and organization oflong-lived convective systems. -
How Hot Is It? Reprinted with Permission from IST-Aim
A F C I n t e r n a t i o n a l , I n c . G a s D e t e c ti o n & Air M o nitori n g S p e ci a lists How Hot Is It? Reprinted with permission from IST-Aim Mankind has often been concerned with sultriness of his environment. For some this is a mere curiosity or a comfort factor. For others it can be life threatening. In order to determine the actual degree of sultriness in a quantifiable manner several temperature indexes have been developed. Perhaps the most common one is "Humidex". It's technical name is "Apparent Temperature". This index measures the effects of humidity and temperature combined into one value to give a rough impression of how hot it feels or the sultriness. This index does have short- comings, in that it does not include the effect of wind. The little known "Corrected Effective Temperature Index" included a wind speed factor. There is another index, which incudes the effects of humidity, air speed, air temperature and the radi- ant heating factor (from the sun). This index was developed by the U.S. Military in the 1950's and has become widely accepted across the globe for industrial temperature measurements to protect employees. It's called the "wet Bulb Globe Temperature Index". It can be measured with a 6" black sphere containing a thermometer, a naturally ventilated wet thermometer, called a Wet Bulb and a regular air temperature thermometer called a Dry Bulb. There are also instruments available which measure this temperature index directly combining the three factors and their appropriate weighting values.