'Rainfall estimates' presentation slideshows

Input Datasets for Wide-Area Hydrologic Modeling USGS Earth Resources Observation Systems

Input Datasets for Wide-Area Hydrologic Modeling USGS Earth Resources Observation Systems (EROS) Data Center Sioux Falls South Dakota. U.S. Department of the Interior U.S. Geological Survey. Famine Early Warning System Network (FEWS NET). U.S. Agency for International Development.

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Geospatial Stream Flow Model (GeoSFM)

Geospatial Stream Flow Model (GeoSFM). USGS FEWS NET EROS Data Center Sioux Falls, SD 57198. U.S. Department of the Interior U.S. Geological Survey. Objectives. To develop a model is a wide-area flood risk monitoring using existing datasets

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Detection of Heavy Precipitation

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Satellite QPE RFC/HPC Hydromet 02-1 COMET/Boulder, CO 28 November 2001 Bob Kuligowski

Satellite QPE RFC/HPC Hydromet 02-1 COMET/Boulder, CO 28 November 2001 Bob Kuligowski NOAA/NESDIS/Office of Research and Applications Camp Springs, MD Bob.Kuligowski@noaa.gov (301) 763 -8251 x 192. Outline. Why Use Satellite QPE? Algorithm Description GOES IR-Based QPE

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SATELLITE RAINFALL ESTIMATES IN SAB

SATELLITE RAINFALL ESTIMATES IN SAB. MOVING FROM IFFA ESTIMATES TO THE AUTOMATIC ESTIMATOR. Richard Borneman - SATELLITE ANALYSIS BRANCH NESDIS/SATELLITE SERVICES DIVISION richard.borneman@noaa.gov http://www.ssd.noaa.gov. PART 1. BACKGROUND ON SAB PRECIPITATION OPERATIONS.

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Infilling Radar CAPPIs

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Infilling Radar CAPPIs

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O. HAUTECOEUR, D. CARRER, J.-L. ROUJEAN , B. GEIGER, C. MEUREY

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An Inter-comparison of Passive Microwave Rainfall Derived from Various Sensors and Algorithms

* C PC Morph ing Technique. An Inter-comparison of Passive Microwave Rainfall Derived from Various Sensors and Algorithms. Robert Joyce RS Information Systems John Janowiak Climate Prediction Center/NCEP/NWS. 3rd International Precipitation Working Group

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Robert Joyce RS Information Systems John Janowiak Climate Prediction Center/NCEP/NWS

* C PC Morph ing Technique. The Evaluation of a Passive Microwave-Based Satellite Rainfall Estimation Algorithm with an IR-Based Algorithm at Short time Scales. Robert Joyce RS Information Systems John Janowiak Climate Prediction Center/NCEP/NWS

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Real-Time Comparisons of Radar Corrected Rainfall Estimates with MESONET Gauges

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Evaluating the drought monitoring capabilities of rainfall estimates for Africa

Evaluating the drought monitoring capabilities of rainfall estimates for Africa. Chris Funk Pete Peterson Amy McNally. What makes good rainfall estimates go bad?. Sparse station data Inconsistent networks Complex mean fields Biased satellite estimates Inhomogeneous satellite inpu ts.

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Comparing NEXRAD and Gauge Rainfall Data

Comparing NEXRAD and Gauge Rainfall Data. Nate Johnson CE 394K.2 Final Project April 26, 2005. Motivation. USGS performs hydrologic and water quality modeling using rainfall data from gauges. Sometimes there is greater than 20 km between gauges

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R. Tsheko , M. Tapela, N.J. Batisani Botswana College of Agriculture Crop and Rangeland Monitoring

R. Tsheko , M. Tapela, N.J. Batisani Botswana College of Agriculture Crop and Rangeland Monitoring Agriculture Service. Agenda SADC THEMA Services. Course Content Rainfall Products. Rainfall products. What are RFEs?. Rainfall products.

231 views • 15 slides

R. Tsheko , M. Tapela, N.J. Batisani Botswana College of Agriculture Crop and Rangeland Monitoring

R. Tsheko , M. Tapela, N.J. Batisani Botswana College of Agriculture Crop and Rangeland Monitoring Agriculture Service. Agenda SADC THEMA Services. Course Content Rainfall Products. Rainfall products. What are RFEs?. Rainfall products.

298 views • 15 slides

FUTURE

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Self-Calibrating Multivariate Precipitation Retrieval (SCaMPR)

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1. INTRODUCTION

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Continuing research on radar-observed precipitation systems during NAME 2004

Continuing research on radar-observed precipitation systems during NAME 2004 Timothy J. Lang, Stephen W. Nesbitt, Steven A. Rutledge, Robert Cifelli, David Lerach, Lee Nelson, Gustavo Pereira, and Angela Rowe Colorado State University, Fort Collins, CO David A. Ahijevych and Richard E. Carbone

88 views • 1 slides