نتایج جستجو برای: Satellite Precipitation Products (SPPs)
تعداد نتایج: 421522 فیلتر نتایج به سال:
The evaluation of satellite precipitation products (SPPs) at regional and local scales is essential in improving satellite-based algorithms and sensors, as well as in providing valuable guidance when choosing alternative precipitation data for the local community. The Tropical Rainfall Measuring Mission (TRMM) has made significant contributions to the development of various SPPs since its launc...
Satellite precipitation products (SPPs) are critical data sources for hydrological prediction and extreme event monitoring, especially for ungauged basins. This study conducted a comprehensive hydrological evaluation of six mainstream SPPs (i.e., TMPA 3B42RT, CMORPH-RT, PERSIANN-RT, TMPA 3B42V7, CMORPH-CRT, and PERSIANN-CDR) over humid Xixian basin in central eastern China for a period of 14 ye...
This study assessed four near-real-time satellite precipitation products (NRT SPPs) of Global Satellite Mapping Precipitation (GSMaP)—NRT v6 (hereafter NRT6), NRT v7 NRT7), Gauge-NRT GNRT6), and GNRT7)— in representing the daily monthly rainfall variations over Taiwan, an island with complex terrain. The GNRT are gauge-adjusted version products. Evaluations for warm (May–October) cold months (N...
Abstract. Revealing the error components of satellite-only precipitation products (SPPs) can help algorithm developers and end-users understand their features improve retrieval algorithms. Here, two decomposition schemes are employed to explore IMERG-Late, GSMaP-MVK, PERSIANN-CCS SPPs over different seasons, rainfall intensities, topography classes. Global maps total bias (total mean squared er...
A Quantile Mapping Bias Correction Method Based on Hydroclimatic Classification of the Guiana Shield
Satellite precipitation products (SPPs) provide alternative precipitation data for regions with sparse rain gauge measurements. However, SPPs are subject to different types of error that need correction. Most SPP bias correction methods use the statistical properties of the rain gauge data to adjust the corresponding SPP data. The statistical adjustment does not make it possible to correct the ...
Flood management is an important topic worldwide. Precipitation the most crucial factor in reducing flood-related risks and damages. However, its adequate quality sufficient quantity are not met many parts of world. Currently, near real-time satellite precipitation products (NRT SPPs) have great potential to supplement gauge rainfall. NRT SPPs several biases that require corrections before appl...
Many fields have identified an increasing need to use global satellite precipitation products for hydrological applications, especially in ungauged basins. In this study, we conduct a comprehensive evaluation of three Satellite-based Precipitation Products (SPPs): Integrated Multi–satellitE Retrievals GPM (IMERG) Final run V6, Soil Moisture Rain (SM2RAIN)-Advanced SCATterometer (ASCAT) V1.5, an...
Satellite precipitation products (SPPs) have emerged as an important information source of with high spatio-temporal resolutions, great potential to improve catchment water resource management and hydrologic modelling, especially in data-sparse regions. As indirect measurement, satellite-derived accuracy is major concern. There been numerous evaluation/validation studies worldwide. However, a c...
Satellite-derived precipitation can be a potential source of forcing data for assessing water availability and managing water supply in mountainous regions of East Asia. This study investigates the hydrological utility of satellite-derived precipitation and uncertainties attributed to error propagation of satellite products in hydrological modeling. To this end, four satellite precipitation pro...
The tropical Rainfall Measuring Mission TRMM 3B42 V7 product and its successor, the Global Precipitation Measurement Integrated Multi-satellitE Retrievals for GPM IMERG high-resolution V5, have been validated against rain gauges precipitation in an arid mountainous basin where ground-based observations of are sparse, or spatially undistributed. This paper aims to evaluate hydro-statically perfo...
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