scholarly journals Using a Kalman Filter to Assimilate TRMM-Based Real-Time Satellite Precipitation Estimates over Jinghe Basin, China

2016 ◽  
Vol 8 (11) ◽  
pp. 899 ◽  
Author(s):  
Jiaqi Chen ◽  
Bin Yong ◽  
Liliang Ren ◽  
Weiguang Wang ◽  
Bo Chen ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Real Time ◽  
Satellite Precipitation ◽  
Precipitation Estimates

scholarly journals Evaluation of Numerical Weather Model–Based Satellite Precipitation Adjustment in Tropical Mountainous Regions

2019 ◽  
Vol 20 (3) ◽  
pp. 431-445 ◽  
Author(s):  
Xinxuan Zhang ◽  
Emmanouil N. Anagnostou
Keyword(s):  
Real Time ◽  
Heavy Precipitation ◽  
Precipitation Event ◽  
Satellite Precipitation ◽  
Numerical Weather ◽  
Mountainous Regions ◽  
Numerical Weather Model ◽  
Weather Model ◽  
Precipitation Estimates ◽  
Daily Scale

Abstract The study evaluated a numerical weather model (WRF)-based satellite precipitation adjustment technique with 81 heavy precipitation events that occurred in three tropical mountainous regions (Colombia, Peru, and Taiwan). The technique was applied on two widely used near-real-time global satellite precipitation products—the National Oceanic and Atmospheric Administration (NOAA) Climate Prediction Center morphing technique (CMORPH) and the Global Satellite Mapping of Precipitation project (GSMaP)—for each precipitation event. The WRF-adjusted satellite products along with the near-real-time and gauge-adjusted satellite products as well as the WRF simulation were evaluated by independent gauge networks at daily scale and event total scale. Results show that the near-real-time precipitation products exhibited severe underestimation relative to the gauge observations over the three tropical mountainous regions. The underestimation tended to be larger for higher rainfall accumulations. The WRF-based satellite adjustment provided considerable improvements to the near-real-time CMORPH and GSMaP products. Moreover, error metrics show that WRF-adjusted satellite products outperformed the gauge-adjusted counterparts for most of the events. The effectiveness of WRF-based satellite adjustment varied with events of different physical processes. Thus, the technique applied on satellite precipitation estimates of these events may exhibit inconsistencies in the bias correction.

scholarly journals A Preliminary Assessment of the Gauge-Adjusted Near-Real-Time GSMaP Precipitation Estimate over Mainland China

2020 ◽  
Vol 12 (1) ◽  
pp. 141 ◽  
Author(s):  
Dekai Lu ◽  
Bin Yong
Keyword(s):  
Real Time ◽  
Mainland China ◽  
Global Scale ◽  
Satellite Precipitation ◽  
Correction Scheme ◽  
Wide Range ◽  
Precipitation Estimates ◽  
Hazard Warning ◽  
Good Agreement

The near-real-time satellite-derived precipitation estimates are attractive for a wide range of applications like extreme precipitation monitoring and natural hazard warning. Recently, a gauge-adjusted near-real-time GSMaP precipitation estimate (GSMaP_Gauge_NRT) was produced to improve the quality of the original GSMaP_NRT. In this study, efforts were taken to investigate and validate the performance of the GSMaP_Gauge_NRT using gauge observations over Mainland China. The analyses indicated that GSMaP_NRT generally overestimated the gauge precipitation in China. After calibration, the GSMaP_Gauge_NRT effectively reduced this bias and was more consistent with gauge observations. Results also showed that the correction scheme of GSMaP_Gauge_NRT mainly acted on hit events and could hardly make up the miss events of the satellite precipitation estimates. Finally, we extended the evaluation to the global scale for a broader view of GSMaP_Gauge_NRT. The global comparisons exhibited that the GSMaP_Gauge_NRT was in good agreement with the GSMaP_Gauge product. In conclusion, the GSMaP_Gauge_NRT had better performance than the GSMaP_NRT and was a more reliable near-real-time satellite precipitation product.

Disintegration of uncertainties associated with real-time multi-satellite precipitation products in diverse topographic and climatic area in Pakistan

2021 ◽  
Vol 18 (3) ◽  
pp. 716-734
Author(s):  
Muhammad Masood ◽  
Ghulam Nabi ◽  
Muhammad Babur ◽  
Aftab Hussain Azhar ◽  
Muhammad Kaleem Ullah
Keyword(s):  
Real Time ◽  
Satellite Precipitation

Real-time bias adjustment for satellite-based precipitation estimates over Mainland China

2021 ◽  
pp. 126133
Author(s):  
Zhehui Shen ◽  
Bin Yong ◽  
Jonathan J. Gourley ◽  
Weiqing Qi
Keyword(s):  
Real Time ◽  
Mainland China ◽  
Bias Adjustment ◽  
Precipitation Estimates
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