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Christman Field Latest Observations
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Date Time
MST		 Temp
°F		 RH
%		 DewPt
°F		 Wind
mph		 Dir
°		 Gust
mph		 Dir
°		 Press
in Hg		 Solar
W/m^2		 Prec
in
2023-06-09 04:15 55.5 80.4 49.6 1.6 60 3.2 63 24.861 0.4 0.00
2023-06-09 04:10 55.2 81.0 49.5 1.3 350 2.2 334 24.864 0.1 0.00
2023-06-09 04:05 55.3 82.0 49.9 4.4 333 5.7 342 24.863 0.0 0.00
2023-06-09 04:00 55.5 80.7 49.7 5.9 342 7.0 340 24.860 0.0 0.00
2023-06-09 03:55 56.5 80.7 50.7 6.1 340 8.3 0 24.860 0.0 0.00
2023-06-09 03:50 56.1 78.3 49.5 3.5 282 4.3 282 24.860 0.0 0.00
2023-06-09 03:45 54.9 85.1 50.5 2.6 310 3.3 314 24.862 0.0 0.00
2023-06-09 03:40 54.6 86.6 50.7 2.5 269 3.3 276 24.863 0.0 0.00
2023-06-09 03:35 54.9 85.9 50.8 3.3 273 3.6 308 24.861 0.0 0.00
2023-06-09 03:30 55.5 84.1 50.8 2.6 314 3.3 319 24.860 0.0 0.00
2023-06-09 03:25 55.6 82.6 50.4 3.2 335 4.0 319 24.860 0.0 0.00
2023-06-09 03:20 55.4 83.4 50.4 3.6 314 4.3 324 24.861 0.0 0.00
2023-06-09 03:15 55.0 83.1 50.0 3.8 323 4.8 334 24.861 0.0 0.00
2023-06-09 03:10 55.5 83.3 50.6 1.4 298 4.8 323 24.862 0.0 0.00
2023-06-09 03:05 55.9 82.8 50.8 1.3 168 2.7 156 24.862 0.0 0.00
2023-06-09 03:00 56.3 81.5 50.7 1.8 156 2.6 156 24.864 0.0 0.00
2023-06-09 02:55 56.3 80.4 50.3 1.4 113 2.1 65 24.864 0.0 0.00
2023-06-09 02:50 55.9 79.1 49.6 2.0 64 2.4 43 24.866 0.0 0.00
2023-06-09 02:45 55.8 81.0 50.1 2.6 66 3.2 12 24.867 0.0 0.00
2023-06-09 02:40 56.0 81.1 50.3 3.1 1 4.7 310 24.870 0.0 0.00
2023-06-09 02:35 56.1 81.2 50.4 3.0 307 4.4 305 24.867 0.0 0.00
2023-06-09 02:30 55.9 82.4 50.6 0.8 354 1.7 355 24.864 0.0 0.00
2023-06-09 02:25 56.7 82.1 51.3 0.0 179 0.1 162 24.864 0.0 0.00
2023-06-09 02:20 56.9 78.2 50.2 0.6 43 1.7 43 24.865 0.0 0.00
2023-06-09 02:15 56.9 79.5 50.7 0.9 43 1.8 55 24.865 0.0 0.00
2023-06-09 02:10 56.8 79.5 50.5 0.8 54 1.8 65 24.864 0.0 0.00
2023-06-09 02:05 56.8 81.4 51.1 2.1 122 2.5 163 24.866 0.0 0.00
2023-06-09 02:00 57.1 80.1 51.0 1.9 211 2.8 284 24.864 0.0 0.00
2023-06-09 01:55 57.1 80.2 51.0 1.6 294 2.4 308 24.864 0.0 0.00
2023-06-09 01:50 57.4 80.0 51.3 2.9 283 3.9 315 24.863 0.0 0.00
Date Time
MST		 Temp
°C		 RH
%		 DewPt
°C		 Wind
m/s		 Dir
°		 Gust
m/s		 Dir
°		 Press
hPa		 Solar
W/m^2		 Prec
mm
2023-06-09 04:15 13.1 80.4 9.8 0.7 60 1.4 63 841.90 0.4 0.00
2023-06-09 04:10 12.9 81.0 9.7 0.6 350 1.0 334 841.98 0.1 0.00
2023-06-09 04:05 12.9 82.0 9.9 2.0 333 2.5 342 841.95 0.0 0.00
2023-06-09 04:00 13.1 80.7 9.8 2.6 342 3.1 340 841.85 0.0 0.00
2023-06-09 03:55 13.6 80.7 10.4 2.7 340 3.7 0 841.85 0.0 0.00
2023-06-09 03:50 13.4 78.3 9.7 1.6 282 1.9 282 841.86 0.0 0.00
2023-06-09 03:45 12.7 85.1 10.3 1.2 310 1.5 314 841.94 0.0 0.00
2023-06-09 03:40 12.6 86.6 10.4 1.1 269 1.5 276 841.97 0.0 0.00
2023-06-09 03:35 12.7 85.9 10.4 1.5 273 1.6 308 841.87 0.0 0.00
2023-06-09 03:30 13.1 84.1 10.5 1.2 314 1.5 319 841.85 0.0 0.00
2023-06-09 03:25 13.1 82.6 10.2 1.4 335 1.8 319 841.85 0.0 0.00
2023-06-09 03:20 13.0 83.4 10.2 1.6 314 1.9 324 841.88 0.0 0.00
2023-06-09 03:15 12.8 83.1 10.0 1.7 323 2.2 334 841.89 0.0 0.00
2023-06-09 03:10 13.1 83.3 10.3 0.6 298 2.2 323 841.94 0.0 0.00
2023-06-09 03:05 13.3 82.8 10.4 0.6 168 1.2 156 841.93 0.0 0.00
2023-06-09 03:00 13.5 81.5 10.4 0.8 156 1.2 156 841.98 0.0 0.00
2023-06-09 02:55 13.5 80.4 10.2 0.6 113 0.9 65 841.99 0.0 0.00
2023-06-09 02:50 13.3 79.1 9.8 0.9 64 1.1 43 842.04 0.0 0.00
2023-06-09 02:45 13.2 81.0 10.0 1.1 66 1.4 12 842.09 0.0 0.00
2023-06-09 02:40 13.3 81.1 10.2 1.4 1 2.1 310 842.19 0.0 0.00
2023-06-09 02:35 13.4 81.2 10.2 1.3 307 2.0 305 842.10 0.0 0.00
2023-06-09 02:30 13.3 82.4 10.3 0.4 354 0.7 355 841.99 0.0 0.00
2023-06-09 02:25 13.7 82.1 10.7 0.0 179 0.0 162 841.99 0.0 0.00
2023-06-09 02:20 13.8 78.2 10.1 0.3 43 0.7 43 842.02 0.0 0.00
2023-06-09 02:15 13.8 79.5 10.4 0.4 43 0.8 55 842.03 0.0 0.00
2023-06-09 02:10 13.8 79.5 10.3 0.4 54 0.8 65 841.98 0.0 0.00
2023-06-09 02:05 13.8 81.4 10.6 0.9 122 1.1 163 842.05 0.0 0.00
2023-06-09 02:00 13.9 80.1 10.5 0.8 211 1.3 284 841.98 0.0 0.00
2023-06-09 01:55 13.9 80.2 10.6 0.7 294 1.1 308 841.98 0.0 0.00
2023-06-09 01:50 14.1 80.0 10.7 1.3 283 1.7 315 841.96 0.0 0.00
CIRA

Cooperative Institute for Research in the Atmosphere

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Carbon Team

Our Staff:

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About the Carbon Team

 

Carbon Group Working Areas:

  • Satellite-based greenhouse gas observations (primarily carbon dioxide and methane)
  • Carbon flux inverse modeling
  • Biospheric/land surface modeling of carbon, water and energy exchange
  • Atmospheric transport of trace gases

 

Key Science Goals:

  • A better understanding of the present state of the earth’s carbon cycle, and the contribution of the biosphere to carbon cycling at urban to regional to global scales.
  • Observing, understanding, and attributing changes to the earth’s carbon cycle in the era of climate change
  • Feasibility of monitoring anthropogenic emissions of greenhouse gases from satellites

Primary Projects:

  • Orbiting Carbon Observatory 2 and 3 (with NASA JPL)
  • GeoCarb (with NASA and the University of Oklahoma)
  • ACT-America field campaign (with NASA and Penn State)
  • Evaluating carbon dynamics across regions and scales (NASA, NOAA, NSF)
  • Designing optimized space-based GHG observing systems (with NASA Goddard)
  • Utilization of solar induced fluorescence (SIF) towards characterizing dryland agriculture (NASA and USDA)

Publications

 

In-Preperation/Submitted/In-Review

T.E. Taylor, C.W. O’Dell, D. Crisp, et. al., An eleven year record of XCO2 estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm. In prep, to be submitted to Earth System Science Data.

Published 2022

Peiro, H., Crowell, S., Schuh, A., Baker, D. F., O’Dell, C., et al: Four years of global carbon cycle observed from the Orbiting Carbon Observatory 2 (OCO-2) version 9 and in situ data and comparison to OCO-2 version 7, Atmos. Chem. Phys., 22, 1097–1130, https://doi.org/10.5194/acp-22-1097-2022, 2022.

Schuh, A.E., et al. On the role of atmospheric model transport uncertainty in estimating the Chinese land carbon sink. Nature 603, E13–E14 (2022). https://doi.org/10.1038/s41586-021-04258-9

Zhang, L., Davis, K. J., Schuh, A. E., et al. (2022). Multi-season evaluation of CO2 weather in OCO-2 MIP models. Journal of Geophysical Research: Atmospheres, 127, e2021JD035457. https://doi.org/10.1029/2021JD035457

Published 2021

Davis, K.J., E.V. Browell, S. Feng, T. Lauvaux, M.D. Obland, S. Pal., B.C. Baier, D.F. Baker, I.T. Baker, Z.R. Barkley, K.W. Bowman, Y. Cui, A.S. Denning,, J.P., DiGangi, J.T. Dobler, A. Fried, T. Gerken, K. Keller, B. Li, A.R. Nehrir, C.P., Normile, C.W. O’Dell, L.E. Ott, A. Roiger, A.E. Schuh, C. Sweeney, Y. Wei, M. Xue, C.W. Williams, 2021: The Atmospheric Carbon and Transport (ACT) America Mission. , Bull. Amer. Meteorol. Soc., E1714-E1734, https://doi.org/10.1175/BAMS-D-20-0300.1.

 

Schuh, A.E. et al., Far-field biogenic and anthropogenic emissions as a dominant source of variability in local urban carbon budgets: A global high-resolution model study with implications for satellite remote sensing, Remote Sensing of Environment,Volume 262,2021,112473,ISSN 0034-4257, https://doi.org/10.1016/j.rse.2021.112473.

Massie, S. T., Cronk, H., Merrelli, A., Schmidt, K. S., Chen, H., and Baker, D., Analysis of 3D cloud effects in OCO-2 XCO2 retrievals, Atmospheric Measurement Techniques, 14, 1475-1499, 2021. https://doi.org/10.5194/amt-14-1475-2021.

Somkuti, P., O’Dell, C. W., Crowell, S., Köhler, P., McGarragh, G. R., Cronk, H. Q., and Burgh, E. B. Solar-induced chlorophyll fluorescence from the Geostationary Carbon Cycle Observatory (GeoCarb): An extensive simulation study. Remote Sensing of Environment, 263:112565, 2021. https://doi.org/10.1016/j.rse.2021.112565.

Published 2020

Somkuti, P., Bösch, H., Feng, L., Palmer, P. I., Parker, R. J., and Quaife, T. A new space-borne perspective of crop productivity variations over the US Corn Belt. Agricultural and Forest Meteorology, 281:107826, 2020. https://doi.org/10.1016/j.agrformet.2019.107826.

Somkuti, P., Bösch, H., and Parker, R. J. The significance of fast radiative transfer for hyperspectral SWIR XCO2 retrievals. Atmosphere, 11(11):1219, 2020. https://doi.org/10.3390/atmos11111219.

T.E. Taylor, et. al., OCO-3 early mission operations and initial (vEarly) XCO2 and SIF retrievals, Remote Sensing of the Environment, 251, 2020. https://doi.org/10.1016/j.rse.2020.112032.

Published 2019

Baker, I.T., A.S. Denning, D.A. Dazlich, A.B. Harper, M.D. Branson, D.A. Randall, M.C. Phillips, K.D. Haynes, S.M. Gallup (2019). Surface-Atmosphere Coupling Scale, the Fate of Water, and Ecophysiological Function in a Brazilian Forest. textitJ. Adv. Mod. Earth Sy., 11(8), 2523-2546, doi:10.1029/2019MS001650.

Haynes, K., Baker, I. T., Denning, S., St ̈ockli, R., Schaefer, K., Lokupitiya, E. Y., Haynes, J. M. (2019). Representing grasslands using dynamic prognostic phenology based on biological growth stages: 1. Implementation in the Simple Biosphere Model (SiB4). J. Adv. Mod. Earth Sy., 11. https://doi.org/10.1029/ 2018MS001540

Haynes, K. D., Baker, I. T., Denning, A. S., Wolf, S., Wohlfahrt, G., Kiely, G., et al. (2019). Representing grasslands using dynamic prognostic phenology based on biological growth stages: 2. Carbon cycling. , J. Adv. Mod. Earth Sy., 11. https:// doi.org/10.1029/2018MS001541

Schuh, A.E. et al, Quantifying the Impact of Atmospheric Transport Uncertainty on CO2 Surface Flux Estimates, Global Biogeochemical Cycles, https://doi.org/10.1029/2018GB006086 2019

Crowell, S., Baker, D., Schuh, A. et al: The 2015–2016 Carbon Cycle As Seen from OCO-2 and the Global In Situ Network, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2019-87 2019.

A. Eldering, T.E. Taylor, C.W. O’Dell and R. Pavlick, The OCO-3 mission: measurement objectives and expected performance based on 1 year of simulated data, Atmospheric Measurement Techniques, 12 (4), 2341-2370, 2019, https://doi.org/10.5194/amt-12-2341-2019.

M. Kiel, C.W. O’Dell, et. al., How bias correction goes wrong: measurement of XCO2 affected by erroneous surface pressure estimates, Atmospheric Measurement Techniques, 12, 2241-2259, 2019, https://doi.org/10.5194/amt-12-2241-2019.

Published 2018

C.W. O’Dell, et. al., Improved retrievals of carbon dioxide from Orbiting Carbon Observatory-2 with the version 8 ACOS algorithm, Atmospheric Measurements Techniques, 11, 6539-6576, 2018, https://doi.org/10.5194/amt-11-6539-2018.

Published 2017

Baker, I.T., P.J. Sellers, A.S. Denning, I. Medina, P. Kraus, K.D. Haynes, 2017: Closing the scale gap between land surface parameterizations and GCMs with a new scheme, SiB3-Bins. J. Adv. Mod. Earth Sy., 9, doi:10.1002/ 2016MS000764.

Published 2016

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Published 2015

???

Published 2014

???

Published 2013

Baker, I.T., H.R. da Rocha, N. Restrepo-Coupe, R. St ̈ockli, L.S. Borma, O.M. Cabral, A.O. Manzi, A.D. Nobre, S.C. Wofsy, S.R. Saleska, M.L. Goulden, S.D. Miller, F.L. Cardoso, A.S. Denning, 2013: Surface ecophysiological behavior across vegetation and moisture gradients in Amazonia. Agric. For. Meteor., 182-183, 177-188, doi: http://dx.doi.org/10.1016/j.agformet.2012.11.015.

Berry, J.A., A. Wolf, J.E. Campbell, I. Baker, N. Blake, D.Blake, A.S. Denning, S.R. Kawa, S.A. Montzka, U. Seibt, K. Stimler, D. Yakir, Z. Zhu, 2013: A coupled model of the global cycles of carbonyl sulfide and CO2: A possible new window on the carbon cycle. J. Geophys. Res., doi:10.1002/jgrg.20068.(I add this one because it is the seminal OCS modeling paper and gets cited all the time)

Published 2012

D. O’Brien, I. Polonsky, C.W. O’Dell, A. Kuze, N. Kikuchi, and V. Natraj, 2011: Testing the polarization model for TANSO-FTS on GOSAT against clear-sky observations of sun-glint over the ocean. In prep, to be submitted to IEEE Trans. Geosci. Remote Sens.

D. Hammerling, A. Michalak, C.W. O’Dell, and S.R. Kawa, 2012: Global CO2 distributions over land from the Greenhouse Gases Observing Satellite (GOSAT). Geophys. Res. Lett., 39, L08804, doi:10.1029/2012GL051203.

C. Frankenberg, C.W. O’Dell, L. Guanter, and J. McDuffie, 2012: Remote sensing of near-infrared chlorophyll fluorescence from space in scattering atmospheres: implications for its retrieval and interferences with atmospheric CO2 retrievals. Atmos Meas. Tech., 5, 2081-2094.

C. Frankenberg, O. Hasekamp, C.W. O’Dell, S. Sanghavi, A. Butz, and J. Worden, 2012:Aerosol information content analysis of multi-angle high spectral resolution measurements and its benefit for high accuracy greenhouse gas retrievals. Atmos. Meas. Tech., 5, 1809-1821.

S. Oshchepkov, A. Bril, T. Yokota, I. Morino, Y. Yoshida, T. Matsunaga, D. Belikov, D. Wunch, P. O. Wennberg, G. Toon, C. W. O’Dell, A. Butz, S. Guerlet, A. Cogan, H. Boesch, N. Eguchi, D. Griffith, R. Macatangay, J. Notholt, N. Deutscher, R. Sussmann, M. Rettinger, V. Sherlock, J. Robinson, E. Kyrö, P. Heikkinen, D. G. Feist, T. Nagahama, N. Kadygrov, S. Maksyutov, O. Uchino, H. Watanabe, 2012: Effects of atmospheric light scattering in validation of spectroscopic space-based observations of carbon dioxide by ground-based FTS measurements, Part 1. J. Geophys. Res., 117, D12, doi:10.1029/2012JD017505.

D. Crisp, B. M. Fisher, C.W. O’Dell, C. Frankenberg, R. Basilio, H. Bösch, L. R. Brown, R. Castano, B. Connor, N. M. Deutscher, A. Eldering, D. Griffith, M. Gunson, A. Kuze, L. Mandrake, J. McDuffie, J. Messerschmidt, C. E. Miller, I. Morino, V. Natraj, J. Notholt, D. O’Brien, F. Oyafuso, I. Polonsky, J. Robinson, R. Salawitch, V. Sherlock, M. Smyth, H. Suto, T. Taylor, P. O. Wennberg, D. Wunch, and Y. L. Yung, 2012: The ACOS XCO2 retrieval algorithm, Part 2: Global XCO2 data characterization. Atmos Meas. Tech., 5, 687-707.

T.E. Taylor, C.W. O’Dell, D.M. O’Brien, N. Kikuchi, T. Yakota, T. Y. Nakajima, H. Ishida, D. Crisp, and T. Nakajima, Comparison of cloud screening methods applied to GOSAT near-infrared spectra, IEEE Trans. Geosci. Remote Sens, 50 (1), 2012. doi:10.1109/TGRS.2011.2160270.

Published 2011

C.W. O’Dell, B. Connor, H. Bösch, D. O’Brien, C. Frankenberg, R. Castano, M. Christi, D. Crisp, A. Eldering, B. Fisher, M. Gunson, J. McDuffie, C. E. Miller, V. Natraj, F. Oyafuso, I. Polonsky, M. Smyth, T. Taylor, G. C. Toon, P. O. Wennberg, and D. Wunch, 2011: The ACOS CO2 retrieval algorithm, Part 1: Description and validation against synthetic observations. Atmos. Meas. Tech. Discuss., 4, 6097-6158.

D. Wunch, P. O. Wennberg, G. C. Toon, B. J. Connor, B. Fisher, G. B. Osterman, C. Frankenberg, L. Mandrake, C.W. O’Dell, P. Ahonen, S. C. Biraud, R. Castano, N. Cressie, D. Crisp, N. M. Deutscher, A. Eldering, M. L. Fisher, D. W. T. Griffith, M. Gunson, P. Heikkinen, G. Keppel-Aleks, E. Kyrö, R. Lindenmaier, R. Macatangay, J. Mendonca, J. Messerschmidt, C. E. Miller, I. Morino, J. Notholt, F. A. Oyafuso, M. Rettinger, J. Robinson, C. M. Roehl, R. J. Salawitch, V. Sherlock, K. Strong, R. Sussmann, T. Tanaka, D. R. Thompson, O. Uchino, T. Warneke, and S. C. Wofsy, 2011: A method for evaluating bias in global measurements of CO2 total columns from space. Atmos. Chem. Phys. Discuss., 11, 20899-20946.

C.W. O’Dell, J.O. Day, H. Pollock, C. Bruegge, D.M. O’Brien, R. Castano, I. Tkatcheva, C.E. Miller, and D. Crisp, Preflight radiometric calibration of the Orbiting Carbon Observatory, IEEE Trans. Geosci. Remote Sens., 49 (6), 2438-2447, 2011. doi:10.1109/TGRS.2010.2090887.

J.O. Day, C.W. O’Dell, H. Pollock, C. Bruegge, D. Rider, D. Crisp, and C.E. Miller, Preflight spectral calibration of the Orbiting Carbon Observatory, IEEE Trans. Geosci. Remote Sens., 49 (7), 2793-2801, 2011. doi:10.1109/TGRS.2011.2107745 .

Published 2010

Kuze, A., D.M. O’Brien, T.E. Taylor, J.O. Day, C.W. O’Dell, F. Kataoka, M. Yoshida, Y. Mitomi, C. Bruegge, H. Pollock, R. Basilio, M. Helmlinger, T. Matsunaga, S. Kawakami, K. Shiomi, T. Urabe and H. Suto, Vicarious calibration of the GOSAT sensors using the Railroad Valley Desert Playa, IEEE Trans. Geosci. Remote Sens., 49 (5), 1781-1975, 2010. doi:10.1109/TGRS.2010.2089527 .

C.W. O’Dell, Acceleration of multiple-scattering, hyperspectral radiative transfer calculations via low-streams interpolation. J. Geophys. Res., 115, D10206, 2010. https://doi.org/10.1029/2009JD012803.

Published 2009

J. Vidot, J., R. Bennartz, C.W. O’Dell, R. Preusker, R. Lindstrot, and A.K. Heidinger, CO2 retrieval over clouds from the OCO mission: Model simulations and error analysis, J. Atmos. Oceanic Technol., 26 (6), 1090-1104, 2009. https://doi.org/10.1175/2009JTECHA1200.1.

Published 2008

???

Published 2007

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Published 2006

A.K. Heidinger, C.W. O’Dell, T. Greenwald, & R. Bennartz, 2006: The Successive Order of Interaction Radiative Transfer Model, Part I: Model Development. J. Appl. Meteorol. Clim., 45 (10), pp. 1388-1402.

C.W. O’Dell, A.K. Heidinger, T. Greenwald, & R. Bennartz, 2006: The Successive Order of Interaction Radiative Transfer Model, Part II: Model Performance and Applications. J. Appl. Meteorol. Clim., 45 (10), pp. 1403-1413.

 

Coming soon

  • Climate and Weather Processes
  • Satellite Algorithm Development, Training and Education
  • Modeling Systems Research
  • Data Assimilation