Ground validation of GPM IMERG and TRMM 3B42V7 rainfall products over southern Tibetan Plateau based on a high-density rain gauge network

2017 ◽  
Vol 122 (2) ◽  
pp. 910-924 ◽  
Author(s):  
Ran Xu ◽  
Fuqiang Tian ◽  
Long Yang ◽  
Hongchang Hu ◽  
Hui Lu ◽  
...  
Keyword(s):  
Tibetan Plateau ◽  
Rain Gauge ◽  
High Density ◽  
Ground Validation ◽  
Southern Tibetan Plateau ◽  
Rain Gauge Network

scholarly journals Assessment of the GPM and TRMM Precipitation Products Using the Rain Gauge Network over the Tibetan Plateau

2018 ◽  
Vol 32 (2) ◽  
pp. 324-336 ◽  
Author(s):  
Sijia Zhang ◽  
Donghai Wang ◽  
Zhengkun Qin ◽  
Yaoyao Zheng ◽  
Jianping Guo
Keyword(s):  
Tibetan Plateau ◽  
Rain Gauge ◽  
The Tibetan Plateau ◽  
Trmm Precipitation ◽  
Rain Gauge Network

scholarly journals Evaluation of the TMPA-3B42 precipitation product using a high-density rain gauge network over complex terrain in northeastern Iberia

2015 ◽  
Vol 133 ◽  
pp. 188-200 ◽  
Author(s):  
Ahmed M. El Kenawy ◽  
Juan I. Lopez-Moreno ◽  
Matthew F. McCabe ◽  
Sergio M. Vicente-Serrano
Keyword(s):  
Complex Terrain ◽  
Rain Gauge ◽  
High Density ◽  
Precipitation Product ◽  
Rain Gauge Network

scholarly journals How Does the Evaluation of the GPM IMERG Rainfall Product Depend on Gauge Density and Rainfall Intensity?

2018 ◽  
Vol 19 (2) ◽  
pp. 339-349 ◽  
Author(s):  
Fuqiang Tian ◽  
Shiyu Hou ◽  
Long Yang ◽  
Hongchang Hu ◽  
Aizhong Hou
Keyword(s):  
Rainfall Intensity ◽  
Mainland China ◽  
Rain Gauge ◽  
Probability Of Detection ◽  
Evaluation Metrics ◽  
Retrieval Algorithm ◽  
Rainfall Events ◽  
Ground Validation ◽  
Global Precipitation ◽  
Rain Gauge Network

Abstract This study investigates the dependency of the evaluation of the Integrated Multisatellite Retrievals for Global Precipitation Measurement (IMERG) rainfall product on the gauge density of a ground-based rain gauge network as well as rainfall intensity over five subregions in mainland China. High-density rain gauges (1.5 gauges per 100 km2) provide exceptional resources for ground validation of satellite rainfall estimates over this region. Eight different gauge networks were derived with contrasting gauge densities ranging from 0.04 to 4 gauges per 100 km2. The evaluation focuses on two warm seasons (April–October) during 2014 and 2015. The results show a strong dependency of the evaluation metrics for the IMERG rainfall product on gauge density and rainfall intensity. A dense rain gauge network tends to provide better evaluation metrics, which implies that previous evaluations of the IMERG rainfall product based on a relatively low-density gauge network might have underestimated its performance. The decreasing trends of probability of detection with gauge density indicate a limited ability to capture light rainfall events in the IMERG rainfall product. However, IMERG tends to overestimate (underestimate) light (heavy) rainfall events, which is a consistent feature that does not show strong dependency on gauge densities. The results provide valuable insights for the improvement of a rainfall retrieval algorithm adopted in the IMERG rainfall product.

scholarly journals Benefits from high-density rain gauge observations for hydrological response analysis in a small alpine catchment

2021 ◽  
Vol 25 (4) ◽  
pp. 2301-2325
Author(s):  
Anthony Michelon ◽  
Lionel Benoit ◽  
Harsh Beria ◽  
Natalie Ceperley ◽  
Bettina Schaefli
Keyword(s):  
Rain Gauge ◽  
High Density ◽  
Swiss Alps ◽  
Hydrologic Response ◽  
Hydrological Response ◽  
Rainfall Runoff ◽  
Analysis Framework ◽  
Stream Network ◽  
Rain Gauges ◽  
Rain Gauge Network

Abstract. Spatial rainfall patterns exert a key control on the catchment-scale hydrologic response. Despite recent advances in radar-based rainfall sensing, rainfall observation remains a challenge, particularly in mountain environments. This paper analyzes the importance of high-density rainfall observations for a 13.4 km2 catchment located in the Swiss Alps, where rainfall events were monitored during 3 summer months using a network of 12 low-cost, drop-counting rain gauges. We developed a data-based analysis framework to assess the importance of high-density rainfall observations to help predict the hydrological response. The framework involves the definition of spatial rainfall distribution metrics based on hydrological and geomorphological considerations and a regression analysis of how these metrics explain the hydrologic response in terms of runoff coefficient and lag time. The gained insights on dominant predictors are then used to investigate the optimal rain gauge network density for predicting the streamflow response metrics, including an extensive test of the effect of down-sampled rain gauge networks and an event-based rainfall–runoff model to evaluate the resulting optimal rain gauge network configuration. The analysis unravels that, besides rainfall amount and intensity, the rainfall distance from the outlet along the stream network is a key spatial rainfall metric. This result calls for more detailed observations of stream network expansions and the parameterization of along-stream processes in rainfall–runoff models. In addition, despite the small spatial scale of this case study, the results show that an accurate representation of the rainfall field (with at least three rain gauges) is of prime importance for capturing the key characteristics of the hydrologic response in terms of generated runoff volumes and delay for the studied catchment (0.22 rain gauges per square kilometer). The potential of the developed rainfall monitoring and analysis framework for rainfall–runoff analysis in small catchments remains to be fully unraveled in future studies, potentially also including urban catchments.

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