[HTML][HTML] Easy-to-use spatial random-forest-based downscaling-calibration method for producing precipitation data with high resolution and high accuracy
C Chen, B Hu, Y Li - Hydrology and Earth System Sciences, 2021 - hess.copernicus.org
Precipitation data with high resolution and high accuracy are significantly important in
numerous hydrological applications. To enhance the spatial resolution and accuracy of …
numerous hydrological applications. To enhance the spatial resolution and accuracy of …
Downscaled‐GRACE data reveal anthropogenic and climate‐induced water storage decline across the Indus Basin
Abstract GRACE (Gravity Recovery and Climate Experiment) has been widely used to
evaluate terrestrial water storage (TWS) and groundwater storage (GWS). However, the …
evaluate terrestrial water storage (TWS) and groundwater storage (GWS). However, the …
[HTML][HTML] A two-step merging strategy for incorporating multi-source precipitation products and gauge observations using machine learning classification and …
H Lei, H Zhao, T Ao - Hydrology and Earth System Sciences, 2022 - hess.copernicus.org
Although many multi-source precipitation products (MSPs) with high spatiotemporal
resolution have been extensively used in water cycle research, they are still subject to …
resolution have been extensively used in water cycle research, they are still subject to …
Deep learning downscaled high-resolution daily near surface meteorological datasets over East Asia
H Lin, J Tang, S Wang, S Wang, G Dong - Scientific Data, 2023 - nature.com
U-Net, a deep-learning convolutional neural network, is used to downscale coarse
meteorological data. Based on 19 models from the Coupled Model Intercomparison Project …
meteorological data. Based on 19 models from the Coupled Model Intercomparison Project …
Downscaling the GPM-based satellite precipitation retrievals using gradient boosting decision tree approach over Mainland China
Z Shen, B Yong - Journal of Hydrology, 2021 - Elsevier
Remote sensing brings unprecedented opportunities to estimate precipitation at regional,
continental, and even global scales. Nevertheless, the spatial resolutions of current …
continental, and even global scales. Nevertheless, the spatial resolutions of current …
Downscaling and merging multiple satellite precipitation products and gauge observations using random forest with the incorporation of spatial autocorrelation
C Chen, Q He, Y Li - Journal of Hydrology, 2024 - Elsevier
Publicly available satellite precipitation products (SPPs) are essential inputs for hydrological
models. However, the existing SPPs suffer from coarse resolutions and large uncertainties …
models. However, the existing SPPs suffer from coarse resolutions and large uncertainties …
A spatially promoted SVM model for GRACE downscaling: Using ground and satellite-based datasets
Satellite-based terrestrial water storage changes have been recorded using the Gravity
Recovery and Climate Experiment (GRACE) satellite which causing it an important dataset …
Recovery and Climate Experiment (GRACE) satellite which causing it an important dataset …
An attention mechanism based convolutional network for satellite precipitation downscaling over China
Precipitation is a key part of hydrological circulation and is a sensitive indicator of climate
change. The Integrated Multi-satellitE Retrievals for the Global Precipitation Measurement …
change. The Integrated Multi-satellitE Retrievals for the Global Precipitation Measurement …
Towards an accurate and reliable downscaling scheme for high-spatial-resolution precipitation data
Accurate high-spatial-resolution precipitation is significantly important in hydrological and
meteorological modelling, especially in rain-gauge-sparse areas. Some methods and …
meteorological modelling, especially in rain-gauge-sparse areas. Some methods and …
Combining APHRODITE rain gauges-based precipitation with downscaled-TRMM data to translate high-resolution precipitation estimates in the indus basin
Understanding the pixel-scale hydrology and the spatiotemporal distribution of regional
precipitation requires high precision and high-resolution precipitation data. Satellite-based …
precipitation requires high precision and high-resolution precipitation data. Satellite-based …