Results 31 to 40 of about 506,951 (266)
Mathematics, 2022 This article is concerned with the numerical solution of three-dimensional elliptic partial differential equations (PDEs) using the trivariate spectral collocation approach based on the Kronecker tensor product.
Musawenkhosi Patson Mkhatshwa +1 more
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Journal of Hydrology: Regional Studies, 2022 Soil moisture (SM) is an indispensable variable in drought monitoring and weather forecast. L-band is found to be the most suitable band for retrieving surface SM.
Fengmin Hu +9 more
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Remote Sensing, 2020 The error characterization of satellite observations is crucial for blending observations from multiple platforms into a unique dataset and for assimilating them into numerical weather prediction models.
Verónica González-Gambau +6 more
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Error characterisation of global active and passive microwave soil moisture datasets [PDF]
Hydrology and Earth System Sciences, 2010 Understanding the error structures of remotely sensed soil moisture observations is essential for correctly interpreting observed variations and trends in the data or assimilating them in hydrological or numerical weather prediction models. Nevertheless,
W. A. Dorigo +6 more
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Remote Sensing, 2022 Improvements in soil moisture observations and modeling play a vital role in drought, water resources, flooding, and landslide management and forecasting.
Zhen Hong +6 more
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Remote Sensing, 2014 Nowadays, spaceborne Synthetic Aperture Radar (SAR) has become a powerful tool for providing significant wave height (SWH). Traditionally, validation of SAR derived SWH has been carried out against buoy measurements or model outputs, which only yield an ...
He Wang, Jianhua Zhu, Jingsong Yang
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Error Characterization of Sea Surface Salinity Products Using Triple Collocation Analysis [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2018 International Conference on Marine Data and Information Systems (IMDIS 2018), 5-7 November 2018, Barcelona.-- 2 pages, 3 tables The monitoring of the global distribution of sea surface salinity (SSS) is vital to understand the ocean’s role in the Earth’s climate.
Nina Hoareau +4 more
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Blending multi-source evapotranspiration datasets via triple collocation approach [PDF]
, 2020 In this research, we provided a framework to merge well-known satellite- and reanalysis-based global ET products (GLDAS, GLEAM, MOD16, and MERRA) using the triple collocation (TC) along with least-square based merging scheme without the utilization of high-quality ground measurement over East Asia.
Jongjin Baik, Jongmin Park, Minha Choi
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Inconsistencies of interannual variability and trends in long-term satellite leaf area index products [PDF]
, 2017 Understanding the long-term performance of global satellite leaf area index (LAI) products is important for global change research. However, few effort has been devoted to evaluating the long-term time-series consistencies of LAI products.
Claverie, Martin +5 more
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Validation of ocean wind and wave data using triple collocation [PDF]
Journal of Geophysical Research: Oceans, 2003 Significant wave height and wind speed fields from ERA‐40 are validated against buoy, ERS‐1, and Topex altimeter measurements. To do so, we propose and apply a triple collocation statistical model. The model takes into account the random errors in observations and model results and allows the estimation of the variances of the errors.
S. Caires, A. Sterl
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