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

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Authors: Chonghui Cheng
Cited by: 0

Abstract

This dataset contains code and data for the manuscript 'Night-day CO2 differences from spaceborne lidar reveal land photosynthetic carbon sink'. The ’Code.zip‘ file contains the analysis and plotting code (including fig. 1-3 and table 1). 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.

Fields of Study & Subjects

Atmospheric and Environmental Gas Dynamics Remote Sensing in Agriculture Atmospheric aerosols and clouds

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
31 January 2026
Document type
Dataset