Code and data for the manuscript 'Night-day CO2 differences from spaceborne lidar reveal land photosynthetic carbon sink'

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Cheng, Chonghui

Description

This dataset contains code and data for the manuscript 'Night-day CO2 differences from spaceborne lidar reveal land photosynthetic carbon sink'. The ’MainAnalysis.zip‘ file contains the analysis and plotting code (including fig. 1, 2, and 3). The remaining files are the data required for running the code. Download links for these data files are as follows: WRF-Chem simulations are available from https://data.aeronomie.be/dataset/wrf-chem-simulations-of-co2-ch4-and-co-over-europe. Access to the DQ-1 data is restricted at the time of submission. Although the data can be requested at https://data.cresda.cn/#/home, it is only available within China. Researchers in China with appropriate licenses can access the satellite data for free.Meteorological auxiliary data are available from https://portal.nccs.nasa.gov/datashare/gmao/geos-fp/das/.Spectroscopic parameters for the CO2 absorption line(s) used in the IPDA forward model are available from https://hitran.org/.Ground-based observations for validating the lidar-derived results are available from https://gaw.kishou.go.jp/search/summary.VIIRS’s GPP datasets are available from https://www.earthdata.nasa.gov/data/catalog/lpcloud-vnp17a2gf-002.MODIS’s GPP datasets are available from https://www.earthdata.nasa.gov/data/catalog/lpcloud-mod17a2hgf-061.Sentinel-3’s GPP datasets are available from https://land.copernicus.eu/en/products/vegetation/gross-primary-production-v1-0-300m.OCO-2’s GPP datasets are available from https://globalecology.unh.edu/data/GOSIF-GPP.html.

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Publication Details

DOI

Publisher

Zenodo

Assigned Domain

Subfield

Artificial Intelligence

Field

Computer Science

Domain

Physical Sciences

Confidence Score

41%

Source

Scholar Data Model