Results 1 to 10 of about 483 (224)
Triple Collocation Analysis of Satellite Precipitation Estimates over Australia
Remote Sensing, 2022 The validation of precipitation estimates is necessary for the selection of the most appropriate dataset, as well as for having confidence in its selection.
Ashley Wild +2 more
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The Effect of Error Non-Orthogonality on Triple Collocation Analyses
Remote Sensing, 2022 Triple collocation analysis is an established technique for calculating the relative linear intercalibration coefficients and observation error variances for physical quantities measured simultaneously in space and time by three different observation ...
Jur Vogelzang +2 more
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Simple Models Outperform More Complex Big‐Leaf Models of Daily Transpiration in Forested Biomes [PDF]
Geophysical Research Letters, 2022 Transpiration makes up the bulk of total evaporation in forested environments yet remains challenging to predict at landscape‐to‐global scales. We harnessed independent estimates of daily transpiration derived from co‐located sap flow and eddy‐covariance
Ryan M. Bright +3 more
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Remote Sensing, 2023 Information relating to errors in evapotranspiration (ET) products, including satellite-derived ET products, is critical to their application but often challenging to obtain, with a limited number of flux towers available for the sufficient validation of
Yan He +8 more
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Geophysical Research Letters, 2023 An Extended Triple Collocation for maximized Correlation (ETCC) method was proposed with a unique correlation function, the purpose of which is to maximize the correlation between the merged product and unknown truth.
Linyong Wei +9 more
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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 accuracy of wind speed measurements is important in many applications. In the present work, error standard deviations of wind speed measured by satellites and National Data Buoy Center (NDBC) buoys were estimated using triple collocation.
Agustinus Ribal, Ian R. Young
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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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