Triple Collocation Analysis of Satellite Precipitation Estimates over Australia [PDF]
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
doaj +2 more sources
Global-Scale Evaluation of XCO2 Products from GOSAT, OCO-2 and CarbonTracker Using Direct Comparison and Triple Collocation Method [PDF]
Remote Sensing, 2022 Triple collocation (TC) shows potential in estimating the errors of various geographical data in the absence of the truth. In this study, the TC techniques are first applied to evaluate the performances of multiple column-averaged dry air CO2 mole ...
Yuanyuan Chen +6 more
doaj +2 more sources
An Extended Triple Collocation Method With Maximized Correlation for Near Global‐Land Precipitation Fusion [PDF]
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
doaj +2 more sources
Triple Collocation Analysis for Two Error-Correlated Datasets: Application to L-Band Brightness Temperatures over Land [PDF]
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
doaj +2 more sources
Summarizing multiple aspects of triple collocation analysis in a single diagram [PDF]
Frontiers in Remote SensingWith the ongoing expansion of global observation networks, it is expected that we shall routinely analyze records of geophysical variables such as temperature from multiple collocated instruments.
Leong Wai Siu +11 more
doaj +2 more sources
Triple Collocation of Ground-, Satellite- and Land Surface Model-Based Surface Soil Moisture Products in Oklahoma—Part I: Individual Product Assessment [PDF]
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
doaj +2 more sources
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
doaj +2 more sources
Cross-Examination of Similarity, Difference and Deficiency of Gauge, Radar and Satellite Precipitation Measuring Uncertainties for Extreme Events Using Conventional Metrics and Multiplicative Triple Collocation [PDF]
Remote Sensing, 2020 Quantifying uncertainties of precipitation estimation, especially in extreme events, could benefit early warning of water-related hazards like flash floods and landslides. Rain gauges, weather radars, and satellites are three mainstream data sources used
Zhi Li +7 more
doaj +2 more sources
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
doaj +2 more sources
Validation of Spaceborne and Modelled Surface Soil Moisture Products with Cosmic-Ray Neutron Probes [PDF]
Remote Sensing, 2017 The scale difference between point in situ soil moisture measurements and low resolution satellite products limits the quality of any validation efforts in heterogeneous regions.
Carsten Montzka +6 more
doaj +5 more sources