Estimating error cross‐correlations in soil moisture data sets using extended collocation analysis
By Alexander Gruber, C. Su, Wade T. Crow, S. Zwieback, Wouter A. Dorigo, Wolfgang Wagner. 2016
102 citations recorded by the source corpus.
Subfields: Atmospheric Science, Civil and Structural Engineering, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/975b228e4ecad47f50d8ce8c1560b36139b7439c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- Alexander Gruber
- Wouter A. Dorigo
- Wade T. Crow
- Wolfgang Wagner
- Marek Zreda
- Klaus Scipal
- Jesús Julio Camarero
- Kasturi Devi Kanniah
In Civil and Structural Engineering
In Environmental Engineering
- Alexander Gruber
- Wouter A. Dorigo
- Wade T. Crow
- Wolfgang Wagner
- Marek Zreda
- Jesús Julio Camarero
- Kasturi Devi Kanniah
- Torbern Tagesson
Citations in the corpus
- The International Soil Moisture Network: serving Earth system science for over a decade (2021, methodology): “The ISMN has frequently been used to asses the impact of assimilating satellite observations into hydrological models (Khaki et al., 2019; Nair et al., 2020a; Gruber et al., 2015; Shin et al., 2016; Li et al., 2020b; Wang et al., 2020b), land surface 445 models (Nair and Indu, 2016; Zhao and Yang, 2”
- Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals (2017, background): “[34] further showed that different land surface”