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Keppel-Aleks, Gretchen
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- Creator:
- Basile, Samantha, Lin, Xin, and Keppel-Aleks, Gretchen
- Description:
- Files contain the atmospheric CO2 mole fraction responses to land flux type (HRcasa, HRcorpse, HRmimics) and land flux region (latband variable). Land flux regions are categorized as: Northern Hemisphere high latitudes (NHL; 61 to 90°N), midlatitudes (NML; 24 to 60°N), tropics (NT; 1 to 23°N), Southern Hemisphere tropics (ST; 0 to 23°S), and extratropics (SE; 24 to 90°S). See the README file for how these land flux region definitions relate to the file's latband variable. and To cite dataset: Basile, S., Lin, X., Keppel-Aleks, G. (2019). Simulated CO2 dataset using the atmospheric transport model GEOSChem v12.0.0: Response to regional land carbon fluxes [Data set]. University of Michigan - Deep Blue. https://doi.org/10.7302/xjzc-xy05
- Keyword:
- carbon dioxide, soil heterotrophic respiration, GEOSChem, HR, CO2, CASA-CNP, CORPSE, and MIMICS
- Discipline:
- Science
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- Creator:
- Keppel-Aleks, Gretchen and Liptak, Jessica
- Description:
- -CESM_bdrd _NEP_pulse_response_CO2.nc contains time series from the ‘FullyCoupled’ simulation -CESM_bdrcs_NEP_pulse_response_CO2.nc contains time series from the ‘NoRad’ simulation -CESM_bdrd_pftcon_NEP_pulse_response_CO2.nc contains data from the ‘NoLUC’ simulation -CESM_bdrd_Regional_Fluxes_NEP.nc contains NEP time series for each terrestrial source region from the FullyCoupled simulation - CESM_bdrcs_Regional_Fluxes_NEP.nc contains NEP time series for each terrestrial source region from the CESM ‘NoRad’ simulation - CESM_bdrd_pftcon_Regional_Fluxes_NEP.nc contains NEP time series for each terrestrial source region from the CESM ‘NoLUC’ simulation The 3-letter station IDs, latitudes, and longitudes of the sample locations are: ID Latitude (ºN) Longitude (ºE) 1. BRW 71.3 203.4 2. ZEP 78.9 11.9 3. SHM 52.7 174.1 4. THD 41.1 235.8 5. TAP 36.7 126.1 6. BMW 32.3 295.1 7. MLO 19.5 204.4 8. POCN15 15.0 215.0 9. ALT 82.5 297.5 10. BHD -41.4 174.9 11. EIC -27.2 250.6 12. GMI 13.4 144.7 13. HUN 47.0 16.7 14. IZO 28.3 343.5 15. LLN 23.5 120.9 16. NAT -5.8 324.7 17. WLG 36.3 100.9 18. HBA -75.6 333.8 19. BKT -0.20 100.3 20. UUM 44.5 111.1 21. CGO -40.7 144.5 22. SDZ 40.7 117.1 23. ASC -8.0 345.6 24. SEY -4.7 55.5 25. POCS20 -20.0 186.0 26. POCS35 -35.0 180.0 27. PSA -64.9 296.0 28. SYO -69.0 39.6 29. CHR 1.7 202.8 30. KEY 25.7 279.8 31. BAL 55.4 17.2 32. HPB 47.8 11.0 33. LMP 35.5 12.6 34. NMB -23.6 15.0 35. RPB 13.2 300.2 36. WIS 30.0 35.1 37. POCS10 -10.0 199.0 38. POCN10 10.0 211.0 39. MID 28.2 182.6 40. SMO -14.2 189.4 41. SPO -90.0 335.2 The terrestrial CO2 source region abbreviations are: 1. NBNA 2. SBNA 3. ETNA 4. WTNA 5. CNAM 6. AMZN 7. EASA 8. WESA 9. EURO 10. SAME 11. MDAF 12. AFRF 13. SOAF 14. EABA 15. WEBA 16. SOBA 17. CNAS 18. SEAS 19. EQAS 20. AUST 21. GNLD 22. ATCA
- Keyword:
- atmospheric CO2 annual cycle amplitude and CESM extended concentration pathway
- Discipline:
- Science
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- Creator:
- Lin, Xin, Keppel-Aleks, Gretchen, Rogers, Brendan M., and Birch, Leah
- Description:
- The data contain the daily-averaged atmospheric concentrations of CO2 tracers in the Northern Hemisphere simulated from a tagged tracer transport model GEOS-Chem v12.0.0. Thirteen land flux regions are defined and tagged in the model to separate their imprints on the long-term atmospheric CO2 seasonal amplification in Northern Hemisphere. A file describing the delineation of these land flux regions is also provided. See the README file for more details on the dataset and model configurations.
- Keyword:
- carbon dioxide, seasonal cycle, amplification, Arctic-boreal, global change, and GEOS-Chem
- Citation to related publication:
- Lin, X., Rogers, B. M., Sweeney, C., Chevallier, F., Arshinov, M., Dlugokencky, E., Machida, T., Sasakawa, M., Tans, P., & Keppel-Aleks, G. (2020). Siberian and temperate ecosystems shape Northern Hemisphere atmospheric CO2 seasonal amplification. Proceedings of the National Academy of Sciences, 117(35), 21079–21087.
- Discipline:
- Science
-
- Creator:
- Butterfield, Zachary, Muccio, Daniel, and Keppel-Aleks, Gretchen
- Description:
- Solar-induced chlorophyll fluorescence (SIF) is an emission of photons during photosynthesis that can be used to make inferences about gross primary productivity (GPP) and carbon uptake of vegetation. With a recent proliferation of available satellite-based observations of SIF, there is much interest in assessing how SIF relates to GPP across multiple temporal and spatial scales. Tower-based observations of SIF at high temporal resolution provide a key link between satellite data and local surface-based observations of ecosystem productivity. We collected tower-based observations of SIF and several vegetation indices using a PhotoSpec spectrometer system deployed on the AmeriFlux tower at UMBS (US-UMB). As the data were collected alongside concurrent eddy flux observations of carbon exchange, they provide a unique opportunity to explore how SIF and other vegetation signals relate to GPP in a temperate deciduous forest and better inform the interpretation of satellite observations.
- Keyword:
- Solar-induced chlorophyll fluorescence, gross primary production, temperate deciduous forest, remote sensing, flux observations, forest productivity
- Citation to related publication:
- Butterfield, Z., Magney, T., Grossmann, K., Bohrer, G., Vogel, C., Barr, S., & Keppel-Aleks, G. (2023). Accounting for Changes in Radiation Improves the Ability of SIF to Track Water Stress-Induced Losses in Summer GPP in a Temperate Deciduous Forest. Journal of Geophysical Research: Biogeosciences, 128, e2022JG007352. https://doi.org/10.1029/2022JG007352
- Discipline:
- Science
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- Creator:
- dos Santos, Thiago, Steiner, Allison, Keppel-Aleks, Gretchen, and De Roo, Roger
- Description:
- Model simulations were conducted to investigate the role of soil moisture on the terrestrial carbon and water cycles. The data are composed of NetCDF files generated by the simulations that contain the data variables analyzed in the paper. and CLM5 Documentation - http://www.cesm.ucar.edu/models/cesm2/land/.
- Keyword:
- Soil moisture, Community Land Model 5, Latent heat, GPP, Gross primary productivity, and Fluxnet
- Citation to related publication:
- Santos, T. dos, Keppel-Aleks, G., Roo, R. D., & Steiner, A. L. (2021). Can Land Surface Models Capture the Observed Soil Moisture Control of Water and Carbon Fluxes in Temperate-To-Boreal Forests? Journal of Geophysical Research: Biogeosciences, 126(4), e2020JG005999. https://doi.org/10.1029/2020JG005999
- Discipline:
- Science