Satellite Rainfall Applications for Surface Hydrology

Satellite Rainfall Applications for Surface Hydrology

von: Mekonnen Gebremichael, Faisal Hossain

Springer-Verlag, 2009

ISBN: 9789048129157 , 327 Seiten

Format: PDF

Kopierschutz: Wasserzeichen

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Satellite Rainfall Applications for Surface Hydrology


 

Preface

4

Contents

7

Contributors

9

Part I Evolution of High Resolution Precipitation Products

12

The TRMM Multi-Satellite Precipitation Analysis (TMPA)

13

1 Introduction

13

2 Instruments and Input Datasets

16

3 General Methodology

18

3.1 Combined Microwave Estimates

18

3.2 Microwave-Calibrated IR Estimates

20

3.3 Merged Microwave and IR Estimates

21

3.4 Rescaling to Monthly Data

21

3.5 RT Algorithm Adjustments

21

4 Current Status on Algorithm Development

22

5 Comparisons and Examples

23

5.1 Prior Results

23

5.2 Climatological Calibration of the RT

25

6 Future Plans/Conclusions

27

References

30

CMORPH: A Morphing Approach for High Resolution Precipitation Product Generation

33

1 Introduction

33

2 Description of the CMORPH Data and Methodology

34

2.1 Infrared Data

34

2.2 Passive Microwave Data

35

2.3 Rainfall Mapping

36

2.4 Intercalibration of the Various PMW-Derived Precipitation Estimates

37

2.5 CMORPH Methodology

38

3 Applications

40

4 CMORPH Improvements

43

4.1 Backward Extension and Reprocessing

43

4.2 Backward Extension of the CMORPH Period of Record

43

4.3 Kalman Filter

43

4.4 Bias Reduction

44

5 CMORPH Data Availability and Performance

44

References

46

The Self-Calibrating Multivariate Precipitation Retrieval (SCaMPR) for High-Resolution, Low-Latency Satellite-Based Rainfall Estimates

48

1 Introduction

48

2 Instruments and Input Datasets

49

3 General Methodology

50

4 Current Status on Algorithm Development

51

5 Comparisons and Examples

54

6 Future Plans and Conclusions

55

References

56

Extreme Precipitation Estimation Using Satellite-Based PERSIANN-CCS Algorithm

58

1 Introduction

58

2 Methodology

59

2.1 Cloud Image Segmentation

60

2.2 Input Feature Extraction

61

2.3 Image Classification

62

2.4 Mapping Patch to Pixel Rainfall

63

3 Application Examples

65

3.1 Hurricane Ernesto

65

3.2 Hurricane Katrina

67

4 Real-Time High Resolution Global Precipitation Server

68

4.1 Map Navigation

70

4.2 Query Functions

72

4.3 Data Access

73

5 Conclusions and Future Directions

73

References

75

The Combined Passive Microwave-Infrared (PMIR) Algorithm

77

1 Background

77

2 Algorithm Description

80

2.1 Data Ingest and Preparation

80

2.2 Database Management

82

2.3 Results Generation

82

3 Application and Results

82

4 Conclusions

88

References

89

The NRL-Blend High Resolution Precipitation Product and its Application to Land Surface Hydrology

92

1 High Resolution Precipitation Products (HRPP)

92

2 NRL-Blend HRPP Technique

93

2.1 Time-Space Colocation of LEO and GEO Datasets

94

2.2 Instantaneous Rainrate Adjustment

95

2.3 Accumulations Procedure

96

2.4 Comparisons with Numerical Weather Prediction Models

97

3 Ground Validation

98

3.1 Verification Efforts of the International Precipitation Working Group (IPWG)

99

3.2 Satellite Omission Experiments

99

4 Sensitivity of Land Surface Parameters

102

5 Land Surface Model Response

102

5.1 Configuration of Land Surface Models

103

5.2 Soil Water Content Sensitivity

104

6 Conclusions

109

References

110

Kalman Filtering Applications for Global Satellite Mapping of Precipitation (GSMaP)

112

1 Introduction

112

2 Data

114

3 Methodology

115

4 Current Status of the System

118

5 Comparisons and Examples

123

5.1 Example

123

5.2 Comparison and Validation

126

6 Future Plans and Conclusions

128

References

129

Part II Evaluation of High Resolution Precipitation Products

131

Neighborhood Verification of High Resolution Precipitation Products

132

1 Introduction

132

2 Neighborhood Verification Methods

134

3 Neighborhood Verification of CMORPH and TMPA Precipitation Estimates

138

4 Discussion

145

References

147

A Practical Guide to a Space-Time Stochastic Error Model for Simulation of High Resolution Satellite Rainfall Data

149

1 Introduction

149

2 Why SREM2D?

151

3 General Modeling Structure Of SREM2D

152

4 Formulation of SREM2D Error Metrics

154

4.1 Probabilities of Detection (Rain and No-Rain) (Metrics 1 and 2)

154

4.2 False Alarm Rain Rate Distribution (Metric 3)

155

4.3 Correlation Lengths (Metrics 4, 5 and 8)

155

4.4 Conditional Rain Rate Distribution (Metrics 6 and 7)

156

4.5 Lag-One Temporal Correlation (Metric 9)

158

5 Data QA/QC and Calibration of Metrics for SREM2D

158

5.1 Quality Assessment and Quality Control

158

5.2 Error Metric Calibration

159

6 SREM2D Simulation And Reproducibility Of Error Statistics

162

6.1 Simulation Issues

163

6.2 Reproducibility of SREM2D Error Statistics

165

6.2.1 Checking the Consistency of Ensemble of Cumulative Hyetograph Against Actual Satellite Rainfall Data

166

6.2.2 Checking Reproducibility of Error Metrics

166

7 Conclusions

168

References

170

Regional Evaluation Through Independent Precipitation Measurements: USA

172

1 Introduction

172

2 Results From IPWG Daily US Validation Site

176

3 Sub-Daily Validation

181

4 Evaluation of Warm Season US Precipitation Using Gauges From NAME

184

5 Discussion

191

References

193

Comparison of CMORPH and TRMM-3B42 over Mountainous Regions of Africa and South America

195

1 Introduction

195

2 Study Regions and Data

196

2.1 Study Region

197

2.2 Gauge Data

199

2.3 Satellite Data

200

3 Comparison of the Satellite Rainfall Products

201

4 Conclusion

204

References

205

Evaluation Through Independent Measurements: Complex Terrain and Humid Tropical Region in Ethiopia

207

1 Introduction

207

2 Data and Methods

208

2.1 Study Region

208

2.2 Types of High-Resolution Satellite Products Used

209

2.3 Rainfall Field Experiment

209

2.4 Method of Analysis

210

3 Results and Discussion

210

4 Conclusions

215

References

216

Error Propagation of Satellite-Rainfall in Flood Prediction Applications over Complex Terrain: A Case Study in Northeastern Italy

217

1 Introduction

217

2 Methodology

219

2.1 Study Area and Data

219

2.2 Satellite-Rainfall Ensembles

221

2.3 Hydrologic Simulations

221

3 Results

224

4 Conclusions

226

References

228

Probabilistic Assessment of the Satellite Rainfall Retrieval Error Translation to Hydrologic Response

230

1 Introduction

230

2 Methodology

232

3 Generating Satellite Precipitation Ensemble

232

4 Study Basin and Datasets

234

5 Hydrologic Model and Ensemble Streamflow Simulation

235

6 Results with Statistical Ensemble Verification

236

7 Summary and Conclusion

240

References

241

Part III Real Time Operations for Decision Support Systems

244

Applications of TRMM-Based Multi-Satellite Precipitation Estimation for Global Runoff Prediction: Prototyping a Global Flood Modeling System

245

1 Introduction

245

2 A Quasi-Global Flood Modeling Framework

247

2.1 Satellite-Based Precipitation Products

248

2.2 A Central Geospatial Database

248

2.3 A Cost-Effective Hydrological Simulation Model

249

3 Modified NRCS-CN Method for Global Rainfall-Runoff Simulation

250

3.1 Mapping a Spatially Distributed Global NRCS-CN

250

3.2 Time-Variant NRCS-CN

251

4 Implementation of the GFM

253

4.1 Retrospective Simulation

254

4.2 Implementation Interface

258

5 Summary and Discussion

259

5.1 Summary

260

5.2 Discussion and Directions of Alternative Flood Modeling Work

260

Refernces

262

Real-Time Hydrology Operations at USDA for Monitoring Global Soil Moisture and Auditing National Crop Yield Estimates

266

1 USDAs Global Agriculture Economic Information System

268

2 Operational Precipitation Products Utilized by USDA/FAS

270

2.1 Ground Station Data From the World Meteorological Organization (WMO)

273

2.2 AGRMET From the Air Force Weather Agency (AFWA)

273

2.3 TMPA-RT From National Aeronautics and Space Administration (NASA)

274

2.4 CMORPH From National Oceanic and Atmospheric Administration (NOAA)

275

2.5 NEXRAD From National Weather Service (NWS)

276

2.6 Other Precipitation Data Sets (National, Regional and Commercial)

276

3 Operational Soil Moisture Products Utilized by USDA/FAS

277

3.1 Modified Palmer Two-Layer Soil Moisture Model

279

3.2 Surface Wetness

279

4 Global Agriculture Monitoring (GLAM) System

282

4.1 Corrected Soil Moisture Model With Passive Microwave (PMW)

283

4.2 Operational Surface Water Heights From Satellite Radar Altimetry

284

4.3 Operational Yield-Regression and Analog-Year Analysis

286

5 Future Outlook

289

References

290

Real-Time Decision Support Systems: The Famine Early Warning System Network

293

1 Introduction

293

1.1 The Three Components of the FEWS NET Planning Process

295

1.2 Focus on Eastern African Food Insecurity in 2009

295

2 Background

295

2.1 A Brief History of FEWS NET

296

2.2 The FEWS NET Early Warning System

297

2.3 A Synopsis of USGS FEWS NET Early Warning Research

298

2.4 A Synopsis of FEWS NET-Related Climate Change and Food Security Research

299

3 Techniques for Evaluating Hydrologic Risk

300

3.1 Low Frequency and High Frequency Models for Food Security Risk Monitoring

300

3.2 Evaluating Low Frequency Changes in Food Security Risks with Food and Water Balance Models

301

3.3 Combining Long-Term and Real-Time Satellite Rainfall Records

303

3.4 Monitoring High Frequency Shocks Using Water Requirement Satisfaction Index Maps

307

4 Analysis of Kenyan Agricultural Hydrologic Conditions

310

4.1 WRSI Anomalies for the 2007 and 2008 Long and Short Rains

310

4.2 The 2007 and 2008 Seasons in Historical Context

311

4.3 1979--2008 Trends in Kenyan Rainfall and WRSI

312

5 Summary and Discussion

315

References

316

Index

319