Published March 18, 2017 | Version v1

Data supplementing the article: Schultz, N.M., Lawrence P.J, Lee X., Global satellite data highlights the diurnal asymmetry of the surface temperature response to deforestation. Journal of Geophysical Research - Biogeosciences

  • 1. Yale University
  • 2. National Center for Atmospheric Research

Description

These data supplement the article: Schultz, N.M., Lawrence P.J, Lee X. Global satellite data highlights the diurnal asymmetry of the surface temperature response to deforestation, under review at the Journal of Geophysical Research - Biogeosciences.

contact: Natalie M. Schultz, natalie.schultz@yale.edu

Below are descriptions of the data files included here:


(1) Global LST data: globalLST_Forest_Open.YYYY.nc [2003-2013]

- DayLST1/NightLST1 and DayLST2/NightLST2 are the final (after the DEM correction) LST values for forest, and open land cover classes, respectively.
- Count variables show the number of pixels of each land cover class in each 0.5 degree grid
- The average elevation of each class is given by the DEM1 and DEM2 vars
- The DEM correction is the dLSTdDEM vars

(2) Global fluxes data: globalFluxes_Forest_Open.YYYY.nc [2003-2013]
- Again, forest class = var1, open class = var2
- SWRABS is absorbed solar radiation
- LE is the latent heat flux
- HP is the heating potential term, as defined in the manuscript
- As described for the LST data, class pixel counts and DEM data are included

(3) climzones3.nc
- The delineation of the three climate zones defined in this paper

(4) MERRA inversion data: MERRA_11yr_TS_T10M.mat [2003-2013]
- 11 years of daily 1am local data averaged over 8-day intervals for 2003-2013
- TS = surface temperature
- T10M = 10M air temperature (above d)

 

 

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