A review of APHRODITE performance in Asia: Current Status and research Concerns
Abstract Asian Precipitation Highly Resolved Observational Data Integration Towards
Evaluation (APHRODITE) is extensively utilized for climatological analysis, hydrological …
Evaluation (APHRODITE) is extensively utilized for climatological analysis, hydrological …
Evaluating root-zone soil moisture products from GLEAM, GLDAS, and ERA5 based on in situ observations and triple collocation method over the Tibetan Plateau
S Yang, J Zeng, W Fan, Y Cui - Journal of Hydrometeorology, 2022 - journals.ametsoc.org
Root-zone soil moisture (RZSM) is an important variable in land–atmosphere interactions,
notably affecting the global climate system. Contrary to satellite-based acquisition of surface …
notably affecting the global climate system. Contrary to satellite-based acquisition of surface …
Comprehensive evaluation of satellite and reanalysis precipitation products over the eastern Tibetan plateau characterized by a high diversity of topographies
H Lei, H Li, H Zhao, T Ao, X Li - Atmospheric Research, 2021 - Elsevier
Quantitative evaluation of the performance of satellite and reanalysis precipitation datasets
is challenging but indispensable for hydroclimate research on poorly gauged regions. This …
is challenging but indispensable for hydroclimate research on poorly gauged regions. This …
Statistical uncertainty analysis-based precipitation merging (SUPER): A new framework for improved global precipitation estimation
J Dong, WT Crow, X Chen, N Tangdamrongsub… - Remote Sensing of …, 2022 - Elsevier
Multi-source merging is an established tool for improving large-scale precipitation estimates.
Existing merging frameworks typically use gauge-based precipitation error statistics and …
Existing merging frameworks typically use gauge-based precipitation error statistics and …
The potential and uncertainty of triple collocation in assessing satellite precipitation products in Central Asia
X Lu, G Tang, X Liu, X Wang, Y Liu, M Wei - Atmospheric Research, 2021 - Elsevier
Although satellite-based precipitation estimation has extensive application potential,
validation of its reliability is challenging for areas lacking ground-based data which is …
validation of its reliability is challenging for areas lacking ground-based data which is …
Evaluation of satellite precipitation estimates over the south west pacific region
A Wild, ZW Chua, Y Kuleshov - Remote Sensing, 2021 - mdpi.com
Rainfall estimation over the Pacific region is difficult due to the large distances between rain
gauges and the high convection nature of many rainfall events. This study evaluates space …
gauges and the high convection nature of many rainfall events. This study evaluates space …
Triple collocation analysis of satellite precipitation estimates over Australia
A Wild, ZW Chua, Y Kuleshov - Remote Sensing, 2022 - mdpi.com
The validation of precipitation estimates is necessary for the selection of the most
appropriate dataset, as well as for having confidence in its selection. Traditional validation …
appropriate dataset, as well as for having confidence in its selection. Traditional validation …
Assessing the accuracy and drought utility of long-term satellite-based precipitation estimation products using the triple collocation approach
X Bai, P Wang, Y He, Z Zhang, X Wu - Journal of Hydrology, 2021 - Elsevier
Satellite-based precipitation products (SPP) have been the focus of much attention for their
potential utility of drought monitoring and analysis. Assessing the accuracy and drought …
potential utility of drought monitoring and analysis. Assessing the accuracy and drought …
[HTML][HTML] Comparison of traditional method and triple collocation analysis for evaluation of multiple gridded precipitation products across Germany
Evaluating the accuracy of precipitation products is essential for many applications. The
traditional method for evaluation is to calculate error metrics of products with gauge …
traditional method for evaluation is to calculate error metrics of products with gauge …
Estimating rainfall depth from satellite-based soil moisture data: A new algorithm by integrating SM2RAIN and the analytical net water flux models
Sparse distribution of rain gauge networks challenges the estimation of rainfall variability
over space and time. The SM2RAIN algorithm was developed to estimate rainfall from the …
over space and time. The SM2RAIN algorithm was developed to estimate rainfall from the …