Multiyear in-situ L-band microwave radiometry of land surface processes on the Tibetan Plateau

  • Jun Wen Chengdu University of Information Technology (Contributor)
  • Yijian Zeng (Contributor)
  • Hong Zhao (Contributor)
  • Shaoning Lv (Contributor)
  • Rogier van der Velde (Contributor)
  • Donghai Zheng (Contributor)
  • Xiaoqin Wang (Contributor)
  • Zuoliang Wang Chinese Academy of Sciences (Contributor)
  • Mike Schwank Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) (Contributor)
  • S. Yueh Jet Propulsion Laboratory, California Institute of Technology (Contributor)
  • Andreas Colliander (Contributor)
  • M. Drusch ESTEC (Contributor)
  • M. Mecklenburg (Contributor)
  • Bob Su (Creator)

Dataset

Description

We report a unique multiyear L-band microwave radiometry dataset collected at the Maqu site on the eastern Tibetan Plateau and demonstrate its utilities in advancing our understandings of microwave observations of land surface processes. The presented dataset contains measurements of L-band brightness temperature by an ELBARA-III microwave radiometer in horizontal and vertical polarization, profile soil moisture and soil temperature, turbulent heat fluxes, and meteorological data from the beginning of 2016 till August 2019, while the experiment is still continuing. Auxiliary vegetation and soil texture information collected in dedicated campaigns are also reported. This dataset can be used to validate the Soil Moisture and Ocean Salinity (SMOS) and Soil Moisture Active Passive (SMAP) satellite based observations and retrievals, verify radiative transfer model assumptions and land surface model and reanalysis outputs, retrieve soil properties, as well as to quantify land-atmosphere exchanges of energy, water and carbon and help to reduce discrepancies and uncertainties in current Earth System Models (ESM) parameterizations. Measurement cases in winter, pre-monsoon, monsoon and post-monsoon periods are presented.

microwave radiometry
Date made available16 Mar 2020
PublisherDANS easy
Temporal coverage2016 - 2019
Date of data production16 Mar 2020

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