Quantification of dust-forced heating of the lower troposphere

Aerosols may affect climate through the absorption and scattering of solar radiation and, in the case of large dust particles, by interacting with thermal radiation. But whether atmospheric temperature responds significantly to such forcing has not been determined; feedback mechanisms could increase or decrease the effects of the aerosol forcing. Here we present an indirect measure of the tropospheric temperature response by explaining the ‘errors’ in the NASA/Goddard model/data-assimilation system. These errors, which provide information about physical processes missing from the predictive model, have monthly mean patterns that bear a striking similarity to observed patterns of dust over the eastern tropical North Atlantic Ocean. This similarity, together with the high correlations between latitudinal location of inferred maximum atmospheric heating rates and that of the number of dusty days, suggests that dust aerosols are an important source of inaccuracies in numerical weather-prediction models in this region. For the average dust event, dust is estimated to heat the lower atmosphere (1.5–3.5 km altitude) by ∼0.2 K per day. At about 30 dusty days per year, the presence of the dust leads to a regional heating rate of ∼6 K per year.

[1]  Albert Arking,et al.  The radiative effects of clouds and their impact on climate , 1991 .

[2]  Lawrence L. Takacs,et al.  Data Assimilation Using Incremental Analysis Updates , 1996 .

[3]  François Dulac,et al.  Control of atmospheric export of dust from North Africa by the North Atlantic Oscillation , 1997, Nature.

[4]  R. Daley Atmospheric Data Analysis , 1991 .

[5]  J. Coakley,et al.  Climate Forcing by Anthropogenic Aerosols , 1992, Science.

[6]  Richard B. Rood,et al.  An assimilated dataset for Earth science applications , 1993 .

[7]  Larry L. Stowe,et al.  Characterization of tropospheric aerosols over the oceans with the NOAA advanced very high resolution radiometer optical thickness operational product , 1997 .

[8]  E. Vermote,et al.  Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer , 1997 .

[9]  Toby N. Carlson,et al.  A two-dimensional numerical investigation of the dynamics and microphysics of Saharan dust storms , 1987 .

[10]  Didier Tanré,et al.  Satellite Climatology of Saharan Dust Outbreaks: Method and Preliminary Results , 1992 .

[11]  R. Lindzen Some Coolness Concerning Global Warming , 1990 .

[12]  D. Tanré,et al.  Remote sensing of aerosol properties over oceans using the MODIS/EOS spectral radiances , 1997 .

[13]  W. Rossow,et al.  ISCCP Cloud Data Products , 1991 .

[14]  P. Alpert,et al.  A jet stream associated heavy dust storm in the western Mediterranean , 1993 .

[15]  J. Penner,et al.  Quantifying and minimizing uncertainty of climate forcing by anthropogenic aerosols , 1994 .

[16]  Hermann E. Gerber,et al.  Aerosols and Their Climatic Effects , 1985 .

[17]  A. Lacis,et al.  The influence on climate forcing of mineral aerosols from disturbed soils , 1996, Nature.

[18]  Joseph M. Prospero,et al.  Impact of the North African drought and El Niño on mineral dust in the Barbados trade winds , 1986, Nature.

[19]  W. C. Graustein,et al.  Temporal variability of summer‐time ozone and aerosols in the free troposphere over the eastern North Atlantic , 1995 .

[20]  R. Wagoner,et al.  TOVS operational sounding upgrades: 1990-1992 , 1994 .

[21]  Stanley G. Benjamin,et al.  Radiative Heating Rates for Saharan Dust , 1980 .