Global Gridded 1-km Annual Soil Respiration and Uncertainty Derived from SRDB V3
This dataset provides six global gridded products at 1-km resolution of predicted annual soil respiration (Rs) and associated uncertainty, maps of the lower and upper quartiles of the prediction distributions, and two derived annual heterotrophic respiration (Rh) maps. A machine learning approach was used to derive the predicted Rs and uncertainty data using a quantile regression forest (QRF) algorithm trained with observations from the global Soil Respiration Database (SRDB) version 3 spanning from 1961 to 2011. The two Rh maps were derived from the predicted Rs with two different empirical equations. These products were produced to support carbon cycle research at local- to global-scales, and highlight the immense spatial variability of soil respiration and our ability to predict it across the globe.
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| Spatial Extent: | Bounding Rectangle: N: 90.0 S: -90.0 E: 180.0 W: -180.0 |
Data Format(s): | Distribution: ICARTT, NetCDF |
| Temporal Extent: | Platform(s): | Environmental Modeling | |
| Data Center(s): | ORNL_DAAC | Instrument(s): | Computer |
| Version: | 1 | ||
- Other Citation Details: Warner, D.L., B.P. Bond-Lamberty, J. Jian, E. Stell, and R. Vargas. 2019. Global Gridded 1-km Annual Soil Respiration and Uncertainty Derived from SRDB V3. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1736
- GENERAL DOCUMENTATION: https://daac.ornl.gov/CMS/guides/CMS_Global_Soil_Respiration.html, ORNL DAAC Data Set Documentation
- GENERAL DOCUMENTATION: https://daac.ornl.gov/daacdata/cms/CMS_Global_Soil_Respiration/comp/CMS_Global_Soil_Respiration.pdf, CMS: Global 1-km maps of predicted soil respiration and associated uncertainty: CMS_Global_Soil_Respiration.pdf
Collection Information
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DOI
10.3334/ORNLDAAC/1736
https://doi.org
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Data Identification
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Processing Level
3
Variables mapped on uniform space-time grid scales with completeness and consistency
- Quality
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Collection Progress
Complete
Data Dates
| Creation | |
| Last Revision |
Related URLs
Acquisition Information
Projects
| Project Short Name | Campaigns | Project Dates |
|---|---|---|
| CMS | No campaigns listed. | No dates provided. |
Temporal Information
Spatial Information
| Coverage Type | Zone Identifier | Geometry | Granule Representation |
|---|---|---|---|
| HORIZONTAL | CARTESIAN | CARTESIAN |
Location Keywords
- GEOGRAPHIC REGION
- GLOBAL
Data Centers
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ORNL_DAAC
ARCHIVER-
ORNL DAAC User Services Office, P.O. Box 2008, MS 6407, Oak Ridge National Laboratory
Oak Ridge, Tennessee 37831-6407
(865) 241-3952
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Data Contacts
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Archive And Distribution Information
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Format: ICARTT
Format Type: Native
Fees: 0
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Format: NetCDF
Format Type: Native
Fees: 0