An accurate estimate of monthly mean land surface temperatures from MODIS clear-sky retrievals

An accurate estimate of monthly mean land surface temperatures from MODIS clear-sky retrievals AbstractMODIS thermal sensors can provide us with global land surface temperature (LST) several times each day, but have difficulty in obtaining information from the land surface in cloudy situations. As a result the monthly day or night LST products [Terra monthly day LST (TMD), Terra monthly night LST (TMN), Aqua monthly day LST (AMD), Aqua monthly night LST (AMN)] are the average LST values calculated over a variable number of clear-sky days in a month. Is it possible to derive an accurate estimate of monthly mean LST based on averaging of the multi-daily overpasses of MODIS sensors? In-situ ground measurements and ERA-Interim re-analyses data, both of which provide continuous information in either clear or cloudy conditions, have been used to validate our approach. Using LST measurements from 156 ground flux towers, it was found that the three mean values , , (mean bias 0.19, 0.59, 0.40 K respectively) can all provide a reliable estimate of all-sky monthly mean LST. Of the three means we recommend the use of for monthly mean LST in climate studies as it provides the most complete coverage. When retrievals from either Terra or Aqua are not available, then either or may be used to fill the gaps. The intrinsic error in the MODIS monthly mean LST cannot be explained from monthly mean view time, view angle and clear sky ratio. MODIS monthly LST calculated using this approach (RMSE=2.65, mean bias< ±1 K) will have wide applicability for climate studies and numerical model evaluation. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Hydrometeorology American Meteorological Society

An accurate estimate of monthly mean land surface temperatures from MODIS clear-sky retrievals

Loading next page...
 
/lp/ams/an-accurate-estimate-of-monthly-mean-land-surface-temperatures-from-Wpp50l3aec
Publisher
American Meteorological Society
Copyright
Copyright © American Meteorological Society
ISSN
1525-7541
D.O.I.
10.1175/JHM-D-17-0009.1
Publisher site
See Article on Publisher Site

Abstract

AbstractMODIS thermal sensors can provide us with global land surface temperature (LST) several times each day, but have difficulty in obtaining information from the land surface in cloudy situations. As a result the monthly day or night LST products [Terra monthly day LST (TMD), Terra monthly night LST (TMN), Aqua monthly day LST (AMD), Aqua monthly night LST (AMN)] are the average LST values calculated over a variable number of clear-sky days in a month. Is it possible to derive an accurate estimate of monthly mean LST based on averaging of the multi-daily overpasses of MODIS sensors? In-situ ground measurements and ERA-Interim re-analyses data, both of which provide continuous information in either clear or cloudy conditions, have been used to validate our approach. Using LST measurements from 156 ground flux towers, it was found that the three mean values , , (mean bias 0.19, 0.59, 0.40 K respectively) can all provide a reliable estimate of all-sky monthly mean LST. Of the three means we recommend the use of for monthly mean LST in climate studies as it provides the most complete coverage. When retrievals from either Terra or Aqua are not available, then either or may be used to fill the gaps. The intrinsic error in the MODIS monthly mean LST cannot be explained from monthly mean view time, view angle and clear sky ratio. MODIS monthly LST calculated using this approach (RMSE=2.65, mean bias< ±1 K) will have wide applicability for climate studies and numerical model evaluation.

Journal

Journal of HydrometeorologyAmerican Meteorological Society

Published: Sep 7, 2017

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Unlimited reading

Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.

Stay up to date

Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.

Organize your research

It’s easy to organize your research with our built-in tools.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

Monthly Plan

  • Read unlimited articles
  • Personalized recommendations
  • No expiration
  • Print 20 pages per month
  • 20% off on PDF purchases
  • Organize your research
  • Get updates on your journals and topic searches

$49/month

Start Free Trial

14-day Free Trial

Best Deal — 39% off

Annual Plan

  • All the features of the Professional Plan, but for 39% off!
  • Billed annually
  • No expiration
  • For the normal price of 10 articles elsewhere, you get one full year of unlimited access to articles.

$588

$360/year

billed annually
Start Free Trial

14-day Free Trial