Supplementary Information for. Seasonal hydroclimatic impacts of Sun Corridor expansion
|
|
- Susan Bradley
- 7 years ago
- Views:
Transcription
1 Supplementary Information for Seasonal hydroclimatic impacts of Sun Corridor expansion M. Georgescu a,b*, A. Mahalov b, and M. Moustaoui b a School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ , USA b School of Mathematical and Statistical Sciences, Global Institute of Sustainability, Arizona State University, Tempe, AZ , USA Accepted for publication in: Environmental Research Letters This file includes: 1. WRF Model Evaluation 2. Figures S1, S2, S3 3. References * Corresponding Author: Matei Georgescu School of Geographical Sciences and Urban Planning Arizona State University P.O. Box Tempe, AZ Matei.Georgescu@asu.edu
2 1. WRF Model Evaluation We evaluate the WRF Control simulation (after averaging all four model realizations to produce a corresponding mean) against the University of Delaware Global Air Temperature dataset, a gridded product available courtesy of the Earth Systems Research Laboratory ( Figure S1 illustrates the well captured model-simulated seasonal transition of near-surface temperature for Broad features related to differences in elevation are reasonably reproduced (e.g. for all seasons, the northeastern portion of AZ is cooler relative to the southwestern semi-desert), although a warm bias is apparent over the higher terrain of the Mogollon Rim. These differences, however, may be due to the relatively coarser resolution of the gridded temperature product (0.5 ) compared to the higher resolution simulations (20km) which better resolve topographic variability. Overall, the model provides confidence in its ability to accurately reproduce the area s diverse and seasonally varying thermal behavior during the simulated time period. Model-simulated total precipitation is presented in Figure S2, using the University of Delaware Global Precipitation dataset. The model captures the seasonal transition in precipitation from spring (relatively dry across the state) to summer (the onset of the monsoon is responsible for state-wide precipitation enhancement), to fall (decreased precipitation accumulation) and winter (greater precipitation along higher elevations). Topographic-induced precipitation enhancement as well as magnitude of precipitation is reasonably reproduced, although a wet bias (exceeding 1 mm day -1 ) is evident for both summer and fall seasons relative to this gridded product. Recent work has highlighted significant disagreement among varying precipitation datasets (over both oceans and land) layering additional uncertainties when comparing model simulations to observationally-based, gridded, products (1). Anomalous regional variability among the
3 different datasets is similar, but considerable disagreement exists in the absolute magnitude of precipitation. We therefore repeat the analysis presented in Figure S2, but instead make use of the CPC US Unified Precipitation dataset provided by NOAA/OAR/ESRL PSD from their Web site at This precipitation dataset has coverage over the Continental United States at a horizontal resolution of 0.25 and a daily temporal frequency. Model-simulated precipitation, a difficult to simulate parameter owing to incomplete physical understanding of convective processes (2-4), was compared to the UNIFIED Precipitation dataset (Figure S3). A considerable reduction in summer season wet precipitation bias is noted, with excellent agreement in the magnitude of total precipitation across the Mogollon Rim and southeast Arizona, highlighting important differences between the pair of gridded products. The wet precipitation bias noted against the University of Delaware Global Precipitation dataset during the fall season, however, does persist and future work aims to diagnose the origin of this bias. Overall, the WRF Control experiment compares favorably with observationally-based gridded temperature and precipitation data, providing confidence in the model s ability to reproduce Arizona s seasonally-varying climate during the simulated time period. Lastly, it is important to note that the performance of this version of the model has also been thoroughly evaluated over urbanizing regions of the semi-arid Southwest (5).
4 References 1. Shin, D.-B., J.-H. Kim, and H.-J. Park 2011 Agreement between monthly precipitation estimates from TRMM satellite, NCEP reanalysis, and merged gauge-satellite analysis, J. Geophys. Res., 116, D16105, doi: /2010jd Liang XZ, Xu M, Kunkel KE, Grell GA, Kain JS 2007 Regional climate model simulation of U.S.-Mexico summer precipitation using the optimal ensemble of two cumulus parameterizations. J Clim Sylla MB, Giorgi F, Stordal F 2012 Large-scale origins of rainfall and temperature bias in high-resolution simulations over southern Africa. Clim. Res., Bukovsky, M. S., and Karoly, D. J Precipitation Simulations Using WRF as a Nested Regional Climate Model. J. App. Meteorol. Clim., 48(10), doi: /2009jamc Georgescu, M., M. Moustaoui, A. Mahalov, and J. Dudhia 2011 An alternative explanation of the semiarid urban area oasis effect, J. Geophys. Res., 116, D24113, doi: /2011jd
5 Figure S1. Simulated (a-d; top panels) and observed (e-h; bottom panels) seasonal mean 2m air temperature (K), for (a, e) spring, (b, f) summer, (c, g) fall, and (d, h) winter. Time period of simulation is Observational dataset used is the University of Delaware Global Temperature dataset.
6 Figure S2. Simulated (a-d; top panels) and observed (e-h; bottom panels) seasonal total precipitation (mm day -1 ), for (a, e) spring, (b, f) summer, (c, g) fall, and (d, h) winter. Time period of simulation is Observational dataset used is the University of Delaware Global Air Precipitation dataset.
7 Figure S3. As Figure S2; Observational dataset used is the Daily U.S. Unified Precipitation dataset.
South Africa. General Climate. UNDP Climate Change Country Profiles. A. Karmalkar 1, C. McSweeney 1, M. New 1,2 and G. Lizcano 1
UNDP Climate Change Country Profiles South Africa A. Karmalkar 1, C. McSweeney 1, M. New 1,2 and G. Lizcano 1 1. School of Geography and Environment, University of Oxford. 2. Tyndall Centre for Climate
More informationClimate Extremes Research: Recent Findings and New Direc8ons
Climate Extremes Research: Recent Findings and New Direc8ons Kenneth Kunkel NOAA Cooperative Institute for Climate and Satellites North Carolina State University and National Climatic Data Center h#p://assessment.globalchange.gov
More informationMonsoon Variability and Extreme Weather Events
Monsoon Variability and Extreme Weather Events M Rajeevan National Climate Centre India Meteorological Department Pune 411 005 rajeevan@imdpune.gov.in Outline of the presentation Monsoon rainfall Variability
More informationSelecting members of the QUMP perturbed-physics ensemble for use with PRECIS
Selecting members of the QUMP perturbed-physics ensemble for use with PRECIS Isn t one model enough? Carol McSweeney and Richard Jones Met Office Hadley Centre, September 2010 Downscaling a single GCM
More informationDiurnal Cycle of Convection at the ARM SGP Site: Role of Large-Scale Forcing, Surface Fluxes, and Convective Inhibition
Thirteenth ARM Science Team Meeting Proceedings, Broomfield, Colorado, March 31-April 4, 23 Diurnal Cycle of Convection at the ARM SGP Site: Role of Large-Scale Forcing, Surface Fluxes, and Convective
More informationArgonne National Laboratory
Argonne National Laboratory Using Climate Data to Inform Critical Infrastructure Resilience and Urban Sustainability Decisionmaking National Academy of Sciences Roundtable on Science and Technology for
More informationGuy Carpenter Asia-Pacific Climate Impact Centre, School of energy and Environment, City University of Hong Kong
Diurnal and Semi-diurnal Variations of Rainfall in Southeast China Judy Huang and Johnny Chan Guy Carpenter Asia-Pacific Climate Impact Centre School of Energy and Environment City University of Hong Kong
More informationDaily High-resolution Blended Analyses for Sea Surface Temperature
Daily High-resolution Blended Analyses for Sea Surface Temperature by Richard W. Reynolds 1, Thomas M. Smith 2, Chunying Liu 1, Dudley B. Chelton 3, Kenneth S. Casey 4, and Michael G. Schlax 3 1 NOAA National
More informationIMPACT OF SAINT LOUIS UNIVERSITY-AMERENUE QUANTUM WEATHER PROJECT MESONET DATA ON WRF-ARW FORECASTS
IMPACT OF SAINT LOUIS UNIVERSITY-AMERENUE QUANTUM WEATHER PROJECT MESONET DATA ON WRF-ARW FORECASTS M. J. Mueller, R. W. Pasken, W. Dannevik, T. P. Eichler Saint Louis University Department of Earth and
More informationTemporal variation in snow cover over sea ice in Antarctica using AMSR-E data product
Temporal variation in snow cover over sea ice in Antarctica using AMSR-E data product Michael J. Lewis Ph.D. Student, Department of Earth and Environmental Science University of Texas at San Antonio ABSTRACT
More informationREGIONAL CLIMATE AND DOWNSCALING
REGIONAL CLIMATE AND DOWNSCALING Regional Climate Modelling at the Hungarian Meteorological Service ANDRÁS HORÁNYI (horanyi( horanyi.a@.a@met.hu) Special thanks: : Gabriella Csima,, Péter Szabó, Gabriella
More informationComparison of the Vertical Velocity used to Calculate the Cloud Droplet Number Concentration in a Cloud-Resolving and a Global Climate Model
Comparison of the Vertical Velocity used to Calculate the Cloud Droplet Number Concentration in a Cloud-Resolving and a Global Climate Model H. Guo, J. E. Penner, M. Herzog, and X. Liu Department of Atmospheric,
More information118358 SUPERENSEMBLE FORECASTS WITH A SUITE OF MESOSCALE MODELS OVER THE CONTINENTAL UNITED STATES
118358 SUPERENSEMBLE FORECASTS WITH A SUITE OF MESOSCALE MODELS OVER THE CONTINENTAL UNITED STATES Donald F. Van Dyke III * Florida State University, Tallahassee, Florida T. N. Krishnamurti Florida State
More informationResearch Objective 4: Develop improved parameterizations of boundary-layer clouds and turbulence for use in MMFs and GCRMs
Research Objective 4: Develop improved parameterizations of boundary-layer clouds and turbulence for use in MMFs and GCRMs Steve Krueger and Chin-Hoh Moeng CMMAP Site Review 31 May 2007 Scales of Atmospheric
More informationChapter 2 Monthly and Seasonal Indian Summer Monsoon Simulated by RegCM3 at High Resolutions
Chapter 2 Monthly and Seasonal Indian Summer Monsoon Simulated by RegCM3 at High Resolutions S.K. Dash, Savita Rai, U.C. Mohanty, and S.K. Panda Abstract The purpose of this study is to examine the advantages
More informationUsing Cloud-Resolving Model Simulations of Deep Convection to Inform Cloud Parameterizations in Large-Scale Models
Using Cloud-Resolving Model Simulations of Deep Convection to Inform Cloud Parameterizations in Large-Scale Models S. A. Klein National Oceanic and Atmospheric Administration Geophysical Fluid Dynamics
More informationTitelmasterformat durch Klicken. bearbeiten
Evaluation of a Fully Coupled Atmospheric Hydrological Modeling System for the Sissili Watershed in the West African Sudanian Savannah Titelmasterformat durch Klicken June, 11, 2014 1 st European Fully
More informationDeveloping sub-domain verification methods based on Geographic Information System (GIS) tools
APPROVED FOR PUBLIC RELEASE: DISTRIBUTION UNLIMITED U.S. Army Research, Development and Engineering Command Developing sub-domain verification methods based on Geographic Information System (GIS) tools
More informationArmenian State Hydrometeorological and Monitoring Service
Armenian State Hydrometeorological and Monitoring Service Offenbach 1 Armenia: IN BRIEF Armenia is located in Southern Caucasus region, bordering with Iran, Azerbaijan, Georgia and Turkey. The total territory
More informationHow Do Oceans Affect Weather and Climate?
How Do Oceans Affect Weather and Climate? In Learning Set 2, you explored how water heats up more slowly than land and also cools off more slowly than land. Weather is caused by events in the atmosphere.
More informationFuture Climate of the European Alps
Chapter 3 Future Climate of the European Alps Niklaus E. Zimmermann, Ernst Gebetsroither, Johann Züger, Dirk Schmatz and Achilleas Psomas Additional information is available at the end of the chapter http://dx.doi.org/10.5772/56278
More informationTowards an NWP-testbed
Towards an NWP-testbed Ewan O Connor and Robin Hogan University of Reading, UK Overview Cloud schemes in NWP models are basically the same as in climate models, but easier to evaluate using ARM because:
More informationSouthern AER Atmospheric Education Resource
Southern AER Atmospheric Education Resource Vol. 9 No. 5 Spring 2003 Editor: Lauren Bell In this issue: g Climate Creations exploring mother nature s remote control for weather and Climate. g Crazy Climate
More information2. The map below shows high-pressure and low-pressure weather systems in the United States.
1. Which weather instrument has most improved the accuracy of weather forecasts over the past 40 years? 1) thermometer 3) weather satellite 2) sling psychrometer 4) weather balloon 6. Wind velocity is
More informationClimate of Illinois Narrative Jim Angel, state climatologist. Introduction. Climatic controls
Climate of Illinois Narrative Jim Angel, state climatologist Introduction Illinois lies midway between the Continental Divide and the Atlantic Ocean, and the state's southern tip is 500 miles north of
More informationContinental and Marine Low-level Cloud Processes and Properties (ARM SGP and AZORES) Xiquan Dong University of North Dakota
Continental and Marine Low-level Cloud Processes and Properties (ARM SGP and AZORES) Xiquan Dong University of North Dakota Outline 1) Statistical results from SGP and AZORES 2) Challenge and Difficult
More informationHumidity, Condensation, Clouds, and Fog. Water in the Atmosphere
Humidity, Condensation, Clouds, and Fog or Water in the Atmosphere The Hydrologic Cycle Where the Water Exists on Earth Evaporation From the Oceans and Land The Source of Water Vapor for the Atmosphere
More informationDevelopment of an Integrated Data Product for Hawaii Climate
Development of an Integrated Data Product for Hawaii Climate Jan Hafner, Shang-Ping Xie (PI)(IPRC/SOEST U. of Hawaii) Yi-Leng Chen (Co-I) (Meteorology Dept. Univ. of Hawaii) contribution Georgette Holmes
More informationTHE STRATEGIC PLAN OF THE HYDROMETEOROLOGICAL PREDICTION CENTER
THE STRATEGIC PLAN OF THE HYDROMETEOROLOGICAL PREDICTION CENTER FISCAL YEARS 2012 2016 INTRODUCTION Over the next ten years, the National Weather Service (NWS) of the National Oceanic and Atmospheric Administration
More informationA simple scaling approach to produce climate scenarios of local precipitation extremes for the Netherlands
Supplementary Material to A simple scaling approach to produce climate scenarios of local precipitation extremes for the Netherlands G. Lenderink and J. Attema Extreme precipitation during 26/27 th August
More informationHow To Predict Climate Change
A changing climate leads to changes in extreme weather and climate events the focus of Chapter 3 Presented by: David R. Easterling Chapter 3:Changes in Climate Extremes & their Impacts on the Natural Physical
More informationQueensland rainfall past, present and future
Queensland rainfall past, present and future Historically, Queensland has had a variable climate, and recent weather has reminded us of that fact. After experiencing the longest drought in recorded history,
More informationClimate, water and renewable energy in the Nordic countries
102 Regional Hydrological Impacts of Climatic Change Hydroclimatic Variability (Proceedings of symposium S6 held during the Seventh IAHS Scientific Assembly at Foz do Iguaçu, Brazil, April 2005). IAHS
More informationClimate Change on the Prairie:
Climate Change on the Prairie: A Basic Guide to Climate Change in the High Plains Region - UPDATE Global Climate Change Why does the climate change? The Earth s climate has changed throughout history and
More informationDeveloping Continuous SCM/CRM Forcing Using NWP Products Constrained by ARM Observations
Developing Continuous SCM/CRM Forcing Using NWP Products Constrained by ARM Observations S. C. Xie, R. T. Cederwall, and J. J. Yio Lawrence Livermore National Laboratory Livermore, California M. H. Zhang
More informationImpacts of a future city master plan on on thermal and wind environments in Vinh city, Vietnam
Impacts of a future city master plan on on thermal and wind environments in Vinh city, Vietnam Satoru Iizuka, Nagoya University, Japan Tatsunori Ito, Nagoya University, Japan Masato Miyata, Mitsubishi
More informationParameterization of Cumulus Convective Cloud Systems in Mesoscale Forecast Models
DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Parameterization of Cumulus Convective Cloud Systems in Mesoscale Forecast Models Yefim L. Kogan Cooperative Institute
More information1. Incredible India. Shade the map on the next page, to show India s relief. The correct shading is shown on the final page! Incredible India India
1. Incredible India Shade the map on the next page, to show India s relief. The correct shading is shown on the final page! Incredible India India The DCSF supported Action plan for Geography is delivered
More information6. Base your answer to the following question on the graph below, which shows the average monthly temperature of two cities A and B.
1. Which single factor generally has the greatest effect on the climate of an area on the Earth's surface? 1) the distance from the Equator 2) the extent of vegetative cover 3) the degrees of longitude
More informationSeasonal & Daily Temperatures. Seasons & Sun's Distance. Solstice & Equinox. Seasons & Solar Intensity
Seasonal & Daily Temperatures Seasons & Sun's Distance The role of Earth's tilt, revolution, & rotation in causing spatial, seasonal, & daily temperature variations Please read Chapter 3 in Ahrens Figure
More informationChapter 2 False Alarm in Satellite Precipitation Data
Chapter 2 False Alarm in Satellite Precipitation Data Evaluation of satellite precipitation algorithms is essential for future algorithm development. This is why many previous studies are devoted to the
More informationIGAD CLIMATE PREDICTION AND APPLICATION CENTRE
IGAD CLIMATE PREDICTION AND APPLICATION CENTRE CLIMATE WATCH REF: ICPAC/CW/No.32 May 2016 EL NIÑO STATUS OVER EASTERN EQUATORIAL OCEAN REGION AND POTENTIAL IMPACTS OVER THE GREATER HORN OF FRICA DURING
More informationFundamentals of Climate Change (PCC 587): Water Vapor
Fundamentals of Climate Change (PCC 587): Water Vapor DARGAN M. W. FRIERSON UNIVERSITY OF WASHINGTON, DEPARTMENT OF ATMOSPHERIC SCIENCES DAY 2: 9/30/13 Water Water is a remarkable molecule Water vapor
More informationEVALUATING SOLAR ENERGY PLANTS TO SUPPORT INVESTMENT DECISIONS
EVALUATING SOLAR ENERGY PLANTS TO SUPPORT INVESTMENT DECISIONS Author Marie Schnitzer Director of Solar Services Published for AWS Truewind October 2009 Republished for AWS Truepower: AWS Truepower, LLC
More informationPotential Climate Impact of Large-Scale Deployment of Renewable Energy Technologies. Chien Wang (MIT)
Potential Climate Impact of Large-Scale Deployment of Renewable Energy Technologies Chien Wang (MIT) 1. A large-scale installation of windmills Desired Energy Output: supply 10% of the estimated world
More informationGCMs with Implicit and Explicit cloudrain processes for simulation of extreme precipitation frequency
GCMs with Implicit and Explicit cloudrain processes for simulation of extreme precipitation frequency In Sik Kang Seoul National University Young Min Yang (UH) and Wei Kuo Tao (GSFC) Content 1. Conventional
More informationWhat Causes Climate? Use Target Reading Skills
Climate and Climate Change Name Date Class Climate and Climate Change Guided Reading and Study What Causes Climate? This section describes factors that determine climate, or the average weather conditions
More informationVery High Resolution Arctic System Reanalysis for 2000-2011
Very High Resolution Arctic System Reanalysis for 2000-2011 David H. Bromwich, Lesheng Bai,, Keith Hines, and Sheng-Hung Wang Polar Meteorology Group, Byrd Polar Research Center The Ohio State University
More informationClimate Ready Tools & Resources
August 2, 2013 Mission Statement To provide the water sector (drinking water, wastewater, and stormwater utilities) with the practical tools, training, and technical assistance needed to adapt to climate
More informationGlobal Seasonal Phase Lag between Solar Heating and Surface Temperature
Global Seasonal Phase Lag between Solar Heating and Surface Temperature Summer REU Program Professor Tom Witten By Abstract There is a seasonal phase lag between solar heating from the sun and the surface
More informationLecture 4: Pressure and Wind
Lecture 4: Pressure and Wind Pressure, Measurement, Distribution Forces Affect Wind Geostrophic Balance Winds in Upper Atmosphere Near-Surface Winds Hydrostatic Balance (why the sky isn t falling!) Thermal
More informationENSO Cycle: Recent Evolution, Current Status and Predictions. Update prepared by Climate Prediction Center / NCEP 9 May 2011
ENSO Cycle: Recent Evolution, Current Status and Predictions Update prepared by Climate Prediction Center / NCEP 9 May 2011 Outline Overview Recent Evolution and Current Conditions Oceanic Niño Index (ONI)
More informationJames Hansen, Reto Ruedy, Makiko Sato, Ken Lo
If It s That Warm, How Come It s So Damned Cold? James Hansen, Reto Ruedy, Makiko Sato, Ken Lo The past year, 2009, tied as the second warmest year in the 130 years of global instrumental temperature records,
More informationValidation n 2 of the Wind Data Generator (WDG) software performance. Comparison with measured mast data - Flat site in Northern France
Validation n 2 of the Wind Data Generator (WDG) software performance Comparison with measured mast data - Flat site in Northern France Mr. Tristan Fabre* La Compagnie du Vent, GDF-SUEZ, Montpellier, 34967,
More informationTropical Cloud Population
Tropical Cloud Population Before Satellites Visual Observation View from and aircraft flying over the South China Sea Radiosonde Data Hot tower hypothesis Riehl & Malkus 1958 Satellite Observations Post
More informationCHAPTER 5 Lectures 10 & 11 Air Temperature and Air Temperature Cycles
CHAPTER 5 Lectures 10 & 11 Air Temperature and Air Temperature Cycles I. Air Temperature: Five important factors influence air temperature: A. Insolation B. Latitude C. Surface types D. Coastal vs. interior
More informationCE394K GIS IN WATER RESOURCES TERM PROJECT REPORT
CE394K GIS IN WATER RESOURCES TERM PROJECT REPORT Soil Water Balance in Southern California Cheng-Wei Yu Environmental and Water Resources Engineering Program Introduction Historical Drought Condition
More information5.2 GLOBAL DISTRIBUTION OF CONVECTION PENETRATING THE TROPICAL TROPOPAUSE. Chuntao Liu * and Edward J. Zipser University of Utah, Salt Lake City, Utah
5.2 GLOBAL DISTRIBUTION OF CONVECTION PENETRATING THE TROPICAL TROPOPAUSE Chuntao Liu * and Edward J. Zipser University of Utah, Salt Lake City, Utah 1. INTRODUCTION Tropical cumulonimbus clouds have long
More informationThe Wind Integration National Dataset (WIND) toolkit
The Wind Integration National Dataset (WIND) toolkit EWEA Wind Power Forecasting Workshop, Rotterdam December 3, 2013 Caroline Draxl NREL/PR-5000-60977 NREL is a national laboratory of the U.S. Department
More informationThe IPCC Special Report on Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation
The IPCC Special Report on Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation A changing climate leads to changes in extreme weather and climate events 2 How do changes
More informationClimate modelling. Dr. Heike Huebener Hessian Agency for Environment and Geology Hessian Centre on Climate Change
Hessisches Landesamt für Umwelt und Geologie Climate modelling Dr. Heike Huebener Hessian Agency for Environment and Geology Hessian Centre on Climate Change Climate: Definition Weather: momentary state
More informationENVIRONMENTAL STRUCTURE AND FUNCTION: CLIMATE SYSTEM Vol. II - Low-Latitude Climate Zones and Climate Types - E.I. Khlebnikova
LOW-LATITUDE CLIMATE ZONES AND CLIMATE TYPES E.I. Khlebnikova Main Geophysical Observatory, St. Petersburg, Russia Keywords: equatorial continental climate, ITCZ, subequatorial continental (equatorial
More informationImpact of water harvesting dam on the Wadi s morphology using digital elevation model Study case: Wadi Al-kanger, Sudan
Impact of water harvesting dam on the Wadi s morphology using digital elevation model Study case: Wadi Al-kanger, Sudan H. S. M. Hilmi 1, M.Y. Mohamed 2, E. S. Ganawa 3 1 Faculty of agriculture, Alzaiem
More informationTime series analysis of regional climate model performance
JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 110,, doi:10.1029/2004jd005046, 2005 Time series analysis of regional climate model performance Jason P. Evans Department of Geology and Geophysics, Yale University,
More informationApplication of Numerical Weather Prediction Models for Drought Monitoring. Gregor Gregorič Jožef Roškar Environmental Agency of Slovenia
Application of Numerical Weather Prediction Models for Drought Monitoring Gregor Gregorič Jožef Roškar Environmental Agency of Slovenia Contents 1. Introduction 2. Numerical Weather Prediction Models -
More informationSimulation of low clouds from the CAM and the regional WRF with multiple nested resolutions
Click Here for Full Article GEOPHYSICAL RESEARCH LETTERS, VOL. 36, L08813, doi:10.1029/2008gl037088, 2009 Simulation of low clouds from the CAM and the regional WRF with multiple nested resolutions Wuyin
More informationList 10 different words to describe the weather in the box, below.
Weather and Climate Lesson 1 Web Quest: What is the Weather? List 10 different words to describe the weather in the box, below. How do we measure the weather? Use this web link to help you: http://www.bbc.co.uk/weather/weatherwise/activities/weatherstation/
More informationREDUCING UNCERTAINTY IN SOLAR ENERGY ESTIMATES
REDUCING UNCERTAINTY IN SOLAR ENERGY ESTIMATES Mitigating Energy Risk through On-Site Monitoring Marie Schnitzer, Vice President of Consulting Services Christopher Thuman, Senior Meteorologist Peter Johnson,
More informationA Comparison of the Atmospheric Response to ENSO in Coupled and Uncoupled Model Simulations
JANUARY 2009 N O T E S A N D C O R R E S P O N D E N C E 479 A Comparison of the Atmospheric Response to ENSO in Coupled and Uncoupled Model Simulations BHASKAR JHA RSIS, Climate Prediction Center, Camp
More informationclimate science A SHORT GUIDE TO This is a short summary of a detailed discussion of climate change science.
A SHORT GUIDE TO climate science This is a short summary of a detailed discussion of climate change science. For more information and to view the full report, visit royalsociety.org/policy/climate-change
More informationPresent trends and climate change projections for the Mediterranean region
Present trends and climate change projections for the Mediterranean region Prof. Piero Lionello, piero.lionello@unile.it Science of Materials Department, University of Salento, Italy Plan of the talk:
More informationFire Weather Index: from high resolution climatology to Climate Change impact study
Fire Weather Index: from high resolution climatology to Climate Change impact study International Conference on current knowledge of Climate Change Impacts on Agriculture and Forestry in Europe COST-WMO
More informationCloud Model Verification at the Air Force Weather Agency
2d Weather Group Cloud Model Verification at the Air Force Weather Agency Matthew Sittel UCAR Visiting Scientist Air Force Weather Agency Offutt AFB, NE Template: 28 Feb 06 Overview Cloud Models Ground
More informationHow To Predict Climate Change In Tonga
Niuatoputapu Niuafo'ou Late Island Vava u Group South Pacific Ocean Tofua Island Kotu Group Nomuka Group Ha apai Group NUKU ALOFA Eua Island Tongatapu Group Current and future climate of Tonga > Tonga
More informationII. Related Activities
(1) Global Cloud Resolving Model Simulations toward Numerical Weather Forecasting in the Tropics (FY2005-2010) (2) Scale Interaction and Large-Scale Variation of the Ocean Circulation (FY2006-2011) (3)
More informationApplication of global 1-degree data sets to simulate runoff from MOPEX experimental river basins
18 Large Sample Basin Experiments for Hydrological Model Parameterization: Results of the Model Parameter Experiment. IAHS Publ. 37, 26. Application of global 1-degree data sets to simulate from experimental
More informationcloud Impacts on Off-Line AQs
Improving Cloud Impacts on Photolysis Rates in Off-Line AQMs Chris Emery ENVIRON Corporation June 24, 2009 Acknowledgements: K. Baker, B. Timin, EPA/OAQPS Introduction Photochemistry is strongly influenced
More informationTemperature. PJ Brucat
PJ Brucat Temperature - the measure of average kinetic energy (KE) of a gas, liquid, or solid. KE is energy of motion. KE = ½ mv 2 where m=mass and v=velocity (speed) 1 All molecules have KE whether solid,
More informationPOTENTIAL IMPACTS OF CLIMATE CHANGE ON FLOODING IN WISCONSIN
POTENTIAL IMPACTS OF CLIMATE CHANGE ON FLOODING IN WISCONSIN Ken Potter and Zach Schuster Department of Civil & Environmental Engineering University of Wisconsin Madison, WI OUTLINE Typical flood scenarios
More informationLong term cloud cover trends over the U.S. from ground based data and satellite products
Long term cloud cover trends over the U.S. from ground based data and satellite products Hye Lim Yoo 12 Melissa Free 1, Bomin Sun 34 1 NOAA Air Resources Laboratory, College Park, MD, USA 2 Cooperative
More informationPART 1. Representations of atmospheric phenomena
PART 1 Representations of atmospheric phenomena Atmospheric data meet all of the criteria for big data : they are large (high volume), generated or captured frequently (high velocity), and represent a
More informationImproving Dynamical Prediction of Seasonal Mean Monsoon & Extended Range Prediction of Active-Break Spells
Annual Cycle Improving Dynamical Prediction of Seasonal Mean Monsoon & Extended Range Prediction of Active-Break Spells M Rajeevan National Atmospheric Research Laboratory, Gadanki Inputs: Dr Suryachandra
More informationTHE ECOSYSTEM - Biomes
Biomes The Ecosystem - Biomes Side 2 THE ECOSYSTEM - Biomes By the end of this topic you should be able to:- SYLLABUS STATEMENT ASSESSMENT STATEMENT CHECK NOTES 2.4 BIOMES 2.4.1 Define the term biome.
More informationMICROPHYSICS COMPLEXITY EFFECTS ON STORM EVOLUTION AND ELECTRIFICATION
MICROPHYSICS COMPLEXITY EFFECTS ON STORM EVOLUTION AND ELECTRIFICATION Blake J. Allen National Weather Center Research Experience For Undergraduates, Norman, Oklahoma and Pittsburg State University, Pittsburg,
More informationUpdate from Reto and Erich
Update from Reto and Erich From theory and models to observations Erich Fischer and Reto Knutti ETH Zurich, Switzerland Schematic illustrating precipitation changes Where does it come from? After CCSP
More informationWorld Water and Climate Atlas
International Water Management Institute World Water and Climate Atlas Direct access to water and climate data improves agricultural planning The IWMI World Water and Climate Atlas provides rapid access
More informationComparative Evaluation of High Resolution Numerical Weather Prediction Models COSMO-WRF
3 Working Group on Verification and Case Studies 56 Comparative Evaluation of High Resolution Numerical Weather Prediction Models COSMO-WRF Bogdan Alexandru MACO, Mihaela BOGDAN, Amalia IRIZA, Cosmin Dănuţ
More informationAtmospheric kinetic energy spectra from high-resolution GEM models
Atmospheric kinetic energy spectra from high-resolution GEM models Bertrand Denis NWP Section Canadian Meteorological Centre Environment Canada SRNWP 2009 Bad Orb, Germany Outline Introduction What we
More informationSupporting Online Material for
www.sciencemag.org/cgi/content/full/311/5768/1747/dc1 Supporting Online Material for Paleoclimatic Evidence for Future Ice-Sheet Instability and Rapid Sea- Level Rise Jonathan T. Overpeck,* Bette L. Otto-Bliesner,
More informationGraphing Sea Ice Extent in the Arctic and Antarctic
Graphing Sea Ice Extent in the Arctic and Antarctic Summary: Students graph sea ice extent (area) in both polar regions (Arctic and Antarctic) over a three-year period to learn about seasonal variations
More informationEssential Question. Enduring Understanding
Earth In Space Unit Diagnostic Assessment: Students complete a questionnaire answering questions about their ideas concerning a day, year, the seasons and moon phases: My Ideas About A Day, Year, Seasons
More informationSIXTH GRADE WEATHER 1 WEEK LESSON PLANS AND ACTIVITIES
SIXTH GRADE WEATHER 1 WEEK LESSON PLANS AND ACTIVITIES WATER CYCLE OVERVIEW OF SIXTH GRADE WATER WEEK 1. PRE: Evaluating components of the water cycle. LAB: Experimenting with porosity and permeability.
More informationDistributed Computing. Mark Govett Global Systems Division
Distributed Computing Mark Govett Global Systems Division Modeling Activities Prediction & Research Weather forecasts, climate prediction, earth system science Observing Systems Denial experiments Observing
More informationThe Water Cycle Now You See It, Now You Don t
The Water Cycle Now You See It, Now You Don t Unit: Salinity Patterns & the Water Cycle l Grade Level: Elementary l Time Required: Introduction - 30 min. - Activity as groups 45min Wrap Up 20 min l Content
More informationWhy aren t climate models getting better? Bjorn Stevens, UCLA
Why aren t climate models getting better? Bjorn Stevens, UCLA Four Hypotheses 1. Our premise is false, models are getting better. 2. We don t know what better means. 3. It is difficult, models have rough
More informationOutline. Case Study over Vale do Paraiba 11 February 2012. Comparison of different rain rate retrievals for heavy. Future Work
Outline Short description of the algorithms for rain rate retrievals from passive microwave radiometers on board low-orbiting satellites (i.e., SSMI/S) Case Study over Vale do Paraiba 11 February 2012
More information2008 Global Surface Temperature in GISS Analysis
2008 Global Surface Temperature in GISS Analysis James Hansen, Makiko Sato, Reto Ruedy, Ken Lo Calendar year 2008 was the coolest year since 2000, according to the Goddard Institute for Space Studies analysis
More informationFIRST GRADE 1 WEEK LESSON PLANS AND ACTIVITIES
FIRST GRADE 1 WEEK LESSON PLANS AND ACTIVITIES UNIVERSE CYCLE OVERVIEW OF FIRST GRADE UNIVERSE WEEK 1. PRE: Describing the Universe. LAB: Comparing and contrasting bodies that reflect light. POST: Exploring
More informationTHUNDERSTORM RAINFALL IN THE SOUTHWEST -*
Purchased by \hz U. S. Department or Agriculture for official use SOME REGIONAL DIFFERENCES IN RUNOFF-PRODUCING THUNDERSTORM RAINFALL IN THE SOUTHWEST -* H. B. 03born - INTRODUCTION Regional differences
More informationForecast of July-August-September 2015 season rainfall in the Sahel and other regions of tropical North Africa: updated forecast
Forecast of July-August-September 2015 season rainfall in the Sahel and other regions of tropical North Africa: updated forecast Issued 2 July 2015 1 FORECAST OF JULY-AUGUST-SEPTEMBER 2015 SEASON RAINFALL
More information