WP-Q&S_I.3 | D-QS_I.3.1
D-QS_I.3.1 | First data delivery of Data-driven NEE prior estimates from data-driven statistical upscaling
- 1 D-QS_I.3.1 | First data delivery of Data-driven NEE prior estimates from data-driven statistical upscaling
- 1.1 Project Details
- 1.1.1 Jira Deliverable
- 1.1.2 Summary
- 1.1.3 Project Module
- 1.1.4 Parent/Workpackage
- 1.1.5 Team
- 1.1.6 Funder/Grant Number
- 1.1.7 Originator/Data Creator
- 1.1.8 Data Contact Person
- 1.1.9 Description
- 1.1.10 Purpose of dataset
- 1.1.11 Input Data
- 1.1.12 Important Notes
- 1.2 Metadata
- 1.2.1 Data Type
- 1.2.2 Data Parts
- 1.2.3 Data Size
- 1.2.4 Planned Update Cycles:
- 1.2.5 Data Version
- 1.2.6 Data delivery date
- 1.2.7 Data last modification date
- 1.2.8 Data license
- 1.3 Data Access
- 1.3.1 Data location (URL)
- 1.4 Literature Reference
- 1.1 Project Details
Project Details
Jira Deliverable
https://itmsgermany.atlassian.net/browse/IQS-24
Summary
NEE prior estimates from data-driven statistical upscaling
Project Module
ITMS-Q&S
Parent/Workpackage
WP-QS_I.3 | Biogenic CO2 fluxes
https://itmsgermany.atlassian.net/browse/IQS-24
Team
MPI-BGC
Funder/Grant Number
BMBF / 01LK2105D
Originator/Data Creator
Sophia Walther, Jacob Nelson, Martin Jung, Fluxcom-X team
Data Contact Person
For questions, please contact Sophia Walther, sophia.walther@bgc-jena.mpg.de
Description
This dataset contains estimates of the terrestrial biogenic CO2 exchange between the land surface and the atmosphere, called Net Ecosystem Exchange (NEE). NEE is defined negative when more CO2 is taken from the atmosphere into the land surface than the other way around. The NEE estimates serve as prior estimates in the atmospheric inversions in ITMS module M.
The NEE estimates here are based on a statistical upscaling approach that marries eddy-covariance measurements of in-situ NEE with satellite observations of properties of the land surface via machine learning. The data originate from the so-called X-BASE product version from the modelling framework FluxCom-X (Nelson* & Walther* et al. 2024 Biogeosciences Discussions, submitted). Satellite observations from the MODIS instruments provided in ITMS B deliverable 1.7.1 drive the simulations. The data are provided in netcdf format in separate files for each year between 2001 and 2021 for every hour and in 0.05deg resolution for the European domain (33.82- 70.18N, -21.3- 59.32E, according to agreements here). NEE is given in units of mumolCO2 m-2 s-1.
Future efforts will customize these simulations in various aspects, e.g. regarding the training domain, predictor variables, and Earth observations, as well as possible coordination with complementary process-based simulations by KIT.
Purpose of dataset
Prior for atmospheric inverse modelling in the module M according to the Internal User Requirements https://itmsgermany.atlassian.net/wiki/spaces/IT/pages/132579329/D-K.5.3+Synthesis+Report+Internal+User+Requirements+Part+2+11-2023#2.3-Biogenic-CO2-fluxes-(WP-QS_I.3)
Used for comparison by ITMS QS_I WP4
Input Data
MODIS land surface satellite observations (ITMS-B deliverable I.7.1), MODIS observations of the same variables at eddy-covariance stations, biogenic NEE and meteorological observations at global eddy-covariance stations
Important Notes
none
Metadata
Data Type
gridded emission data of CO2 for Europe
Data Parts
A dataset containing Europe from 2001 - 2021 (NEE_Europe_XBASE_deliverableI_3_1_20**.nc)
A dataset containing a cut out of Germany from 2017 - 2021 for comparisons with QS_I WP4 (NEE_Germany_XBASE_20**.nc)
A test dataset ~430 MB (NEE_Germany_XBASE_2021growingSeason_smalltestfile_.nc)
Data Format
netcdf
Data Size
780 GB, in yearly files a 39GB
Planned Update Cycles:
yearly
Data Version
v0
Data delivery date
31.01.2024
Data last modification date
31.01.2024
Data license
openData
Data Access
Data location (URL)
The data sets are for now made available via FTP under ftp://ftp.bgc-jena.mpg.de/pub/outgoing/swalth/ITMS/ITMS_QS/deliverable_I31_2024_01. Parts of the folders may be hidden. Make sure to give the path explicitly.
Literature Reference
Nelson*&Walther* et al. 2024 (Biogeosciences Diss, submitted)
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