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EOS Aura MLS
UARS MLS
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Stratosphere (and Mesosphere)
- Chlorine and Bromine
- Dynamics, Transport, & Waves
- Hydrogen Chemistry
- Ozone (Global)
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Stratosphere/Troposphere Interactions
- Tropical Tropopause Layer
- Extratropical Strat-Trop Exchange
Troposphere, Air Quality, & Climate
- Water Vapor and Cloud Feedbacks
- Observations needed for Model Improvement
- Air Pollution in the Upper Troposphere
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- Troposphere Cloumn Ozone
Measurement Science and Validation
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Observations Needed to Improve Models
Contact: Hui Su


Summary

Numerical models are the primary tools for weather forecast and climate change predictions. Accurate representation of processes involving water vapor, clouds and atmospheric composition has been a challenging problem in models for years. Improvements of weather forecast and climate change predictions require extensive evaluation of model simulations by comparison with global satellite observations. The Aura MLS measurements of water vapor, clouds and other tracer gases provide a unique opportunity to evaluate model performance in the upper troposphere (~8-15km altitude) and to improve model parameterizations of key processes such as convection.


MLS-related publications related to model improvement

Future Publications

  1. Jiang, J.H., "Evaluation of Cloud and Water Vapor Simulations in IPCC AR5 Climate Models Using NASA 'A-Train' Satellite Observations", Not yet published. Preprint

2012

  1. Gu, Y., "Dust aerosol impact on North Africa climate: a GCM investigation of aerosol-cloud-radiation interactions using A-Train satellite data", vol doi:10.5194/acp-12-1667-2012, num 12, 2012. Reprint
  2. Muscari, G., "Strato-mesospheric ozone measurements using ground-based millimeter-wave spectroscopy at Thule, Greenland", vol 10.1029/2011JD016863, num 117, 2012. Reprint
  3. Tang, Q., "Five blind men and the elephant: what can the NASA Aura ozone measurements tell us about stratosphere-troposphere exchange?", vol doi:10.5194/acp-12-2357-2012, num 12, 2012. Reprint

2011

  1. Allen, D.R., "Modeling the Frozen-In Anticyclone in the 2005 Arctic Summer Stratosphere", vol doi:10.5194/acp-11-4557-2011, num 11, 2011. Reprint
  2. Dragani, R., "On the quality of the ERA-Interim ozone reanalyses: comparisons with satellite data", num 137, 2011. Reprint
  3. Flemming, J., "Forecasts and assimilation experiments of the Antarctic ozone hole 2008", vol doi:10.5194/acp-11-1961-2011, num 11, 2011. Reprint
  4. Hendricks, J., "Effects of ice nuclei on cirrus clouds in a global climate model", vol doi:10.1029/2010JD015302, num 116, 2011. Reprint
  5. Jackson, D.R., "Low-ozone events in the southern polar summer as indicated by Met Office ozone analyses", vol doi:10.1029/2010JD014858, num 116, 2011. Reprint
  6. Jiang, J.H., "Touring the Atmosphere Aboard the A-Train", 2011.
  7. Kishore, P., "Global 501S­501N distribution of water vapor observed by COSMIC GPS RO: Comparison with GPS radiosonde, NCEP, ERA-Interim, and JRA-25 reanalysis data sets", vol doi:10.1016/j.jastp.2011.04.017, num 73, 2011. Reprint
  8. Lahoz, W.A., "The 2009 stratospheric major warming described from synergistic use of BASCOE water vapour analyses and MLS observations", vol doi:10.5194/acp-11-4689-2011, num 11, 2011. Reprint
  9. Li, J.F., "Correction to 'Comparisons of satellites liquid water estimates to ECMWF and GMAO analyses, 20th century IPCC AR4 climate simulations, and GCM simulations'", vol doi:10.1029/2011GL049956, num 38, pgs. L2480, 2011. Reprint
  10. Michou, M., "A new version of the CNRM Chemistry-Climate Model, CNRM-CCM: description and improvements from the CCMVal-2 simulations", vol doi:10.5194/gmdd-4-1129-2011, num 4, 2011. Reprint
  11. Ren, S., "The impact of gravity wave drag on mesospheric analyses of the 2006 stratospheric major warming", vol doi:10.1029/2011JD015943, num 116, 2011. Reprint
  12. Russo, M.R., "Representation of tropical deep convection in atmospheric models - Part 1: Meteorology and comparison with satellite observations", vol doi:10.5194/acp-11-2765-2011, num 11, 2011. Reprint
  13. Sovde, O.A., "Estimation of Arctic O3 loss during winter 2006/2007 using data assimilation and comparison with a chemical transport model", vol doi:10.1002/qj.740, 2011. Reprint
  14. Su, H., "Comparison of Regime-Sorted Tropical Cloud Profiles Observed by CloudSat with GEOS5 Analyses and Two General Circulation Model Simulations", vol doi:10.1029/2010JD014971, num 116, pgs. D0910, 2011. Reprint
  15. Wu, L., "Regional simulations of deep convection and biomass burning over South America: 1. Model evaluations using multiple satellite data sets", vol doi:10.1029/2011JD016105, num 116, 2011. Reprint
  16. Zhang, L., "Impacts of 2006 Indonesian fires and dynamics on tropical upper tropospheric carbon monoxide and ozone", vol doi:10.5194/acp-11-10929-2011, pgs. 11, 2011. Reprint

2008

  1. Jackson, D.R., "Estimation of Arctic ozone loss in winter 2004/05 based on assimilation of EOS MLS observations", vol doi:10.1002/qj.316, num 134, 2008. Reprint

2007

  1. Fovell, R., "Impact of cloud microphysics on hurricane track forecasts", vol doi:10.1029/2007GL031723, num 34, 2007. Reprint
  2. Kovalenko, L.J., "Observed and Modeled HOCl Profiles in the Midlatitude Stratosphere: Implication for Ozone Loss", vol doi:10.1029/2007GL031100, num 34, 2007. Reprint
  3. Li, J-L., "Assessing Consistency between EOS MLS and ECMWF Analyzed and Forecast Estimates of Cloud Ice", vol doi:10.1029/2006GL029022, num 34, 2007. Reprint Supplemental

2006

  1. Folkins, I., "Testing convective parameterizations with tropical measurements of HNO3, CO, H2O, and O3: Implications fotr the water vapor budget", vol doi:10.1029/2006JD007325, num 111, 2006. Reprint
  2. Lin, X., "A View of Hurricane Katrina With Early 21st Century Technology", num 87, 2006. Reprint

2005

  1. Li, J-L., "Comparisons of EOS MLS Cloud Ice Measurements with ECMWF analyses and GCM Simulations: Initial Results", vol doi:10.1029/2005GL023788, num 32, 2005. Reprint Summary


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