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−2 · day −1 for GPP, ecosystem respiration (R tot) and NEE, while mean residual differences were 43% of the rmse. Similar accuracies were observed for both TCF and BIOME-BGC model simulations relative to tower results. TCF-model-derived SOC was in general agreement with soil inventory data and indicates that the dominant SOC source for R h has a mean(More)
regression method using several frequencies are employed. The seasonal pattern of microwave emission and relative accuracy of the soil temperature retrievals are influenced strongly by landscape properties, including the presence of open water, vegetation type and seasonal phenology, snow cover, and freeze–thaw transitions. The retrieval of soil temperature(More)
were then applied within an AMSR2 multifrequency brightness temperature algorithm for deriving atmosphere-corrected surface air temperatures. The estimated temperatures agree favorably (R 2 > 0.80 and rmse < 3.5 K) with independent weather station daily air temperature measurements spanning global climate and land cover variability. The resulting PWV(More)
We developed a satellite microwave remote sensing approach to retrieve daily maximum 1 and minimum land surface air temperatures from the Advanced Microwave Scanning 2 Radiometer for EOS (AMSR-E). The approach accounts for vertically integrated atmospheric 3 water vapor absorption, and variable surface emissivity due to open water and vegetation 4 biomass.(More)
The development and continuity of consistent long-term data records from similar overlapping satellite observations is critical for global monitoring and environmental change assessments. We developed an empirical approach for inter-calibration of satellite microwave brightness temperature (T b) records over land from the Advanced Microwave Scanning(More)
High latitude regions are undergoing significant climate-related change and represent an integral component of the Earth's climate system. Near-surface vapor pressure deficit, soil temperature, and soil moisture are essential state variables for monitoring high latitude climate and estimating the response of terrestrial ecosystems to climate change. Methods(More)
We developed an algorithm to estimate surface soil moisture, vegetation optical depth and fractional open water cover using satellite microwave radiometry. Soil moisture results compare favorably with a simple antecedent site precipitation index, and respond rapidly to precipitation events indicated by TRMM. High optical depth reduces soil moisture(More)
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