Results 21 to 30 of about 483 (224)
Blending multi-source evapotranspiration datasets via triple collocation approach [PDF]
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
openaire +1 more source
The majority of people in East Africa rely on the agro-pastoral system for their livelihood, which is highly vulnerable to droughts and flooding. Agro-pastoral droughts are endemic to the region and are considered the main natural hazard that contributes
Shahriar Pervez +7 more
doaj +1 more source
Validation of ocean wind and wave data using triple collocation [PDF]
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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Merging Microwave, Optical, and Reanalysis Data for 1 Km Daily Soil Moisture by Triple Collocation
High-spatiotemporal resolution soil moisture (SM) plays an essential role in optimized irrigation, agricultural droughts, and hydrometeorological model simulations. However, producing high-spatiotemporal seamless soil moisture products is challenging due
Luyao Zhu +6 more
doaj +1 more source
Correlated Triple Collocation to Estimate SMOS, SMAP and ERA5-Land Soil Moisture Errors
The novel Correlated Triple Collocation (CTC) analysis allows to assess three different data sources of similar spatial resolutions, but with two of them being correlated. In this study, the CTC was applied to estimate the unbiased random errors of the global soil moisture (SM) data provided by two L-band satellite missions -the Soil Moisture and Ocean
Pablos Hernández, Miriam +4 more
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Recent developments in passive microwave remote sensing have provided an effective tool for monitoring global soil moisture (SM) observations on a spatiotemporal basis, filling the gap of uneven in-situ measurement distribution.
Saroj Kumar Dash, Rajiv Sinha
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Evaluation of Assumptions in Soil Moisture Triple Collocation Analysis
Abstract Triple collocation analysis (TCA) enables estimation of error variances for three or more products that retrieve or estimate the same geophysical variable using mutually independent methods. Several statistical assumptions regarding the statistical nature of errors (e.g., mutual independence and orthogonality with respect to the
Yilmaz, M. Tugrul, Crow, Wade T.
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Abstract Divergent thinking (DT) is an important constituent of creativity that captures aspects of fluency and originality. The literature lacks multivariate studies that report relationships between DT and its aspects with relevant covariates, such as cognitive abilities, personality traits (e.g. openness), and insight. In two multivariate studies (N
S. Weiss +6 more
wiley +1 more source
XCO2 Fusion Algorithm Based on Multi-Source Greenhouse Gas Satellites and CarbonTracker
In view of the urgent need for high coverage and high-resolution atmospheric CO2 data in the study of carbon neutralization and global CO2 change research, this study combines the Kriging interpolation and the Triple Collision (TC) algorithm to fuse ...
Ailin Liang +3 more
doaj +1 more source
Triple Collocation Analysis and In Situ Validation of the CYGNSS Soil Moisture Product
Cyclone Global Navigation Satellite System (CYGNSS) soil moisture (SM) product is characterized by high temporal resolution, but the relative strengths and weaknesses of this new product are unknown.
Xiaodong Deng +6 more
doaj +1 more source

