Suchen und Finden
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
Alle Preise verstehen sich inklusive der gesetzlichen MwSt.