Assessment of mapping of annual average rainfall in a tropical country like Bangladesh: remotely sensed output vs. kriging estimate-Reference-Cited by-同舟云学术

Assessment of mapping of annual average rainfall in a tropical country like Bangladesh: remotely sensed output vs. kriging estimate

Published:2021-07-23 Issue:1-2 Volume:146 Page:111-123
ISSN:0177-798X
Container-title:Theoretical and Applied Climatology
language:en
Short-container-title:Theor Appl Climatol

Author:

Das Samiran^ORCID,Islam Abu Reza Md. Towfiqul

Funder

Nanjing University of Information Science and Technology

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Link

https://link.springer.com/content/pdf/10.1007/s00704-021-03729-3.pdf

Reference53 articles.

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3. Amini MA, Torkan G, Eslamian S et al (2019) Analysis of deterministic and geostatistical interpolation techniques for mapping meteorological variables at large watershed scales. Acta Geophys 67:191–203. https://doi.org/10.1007/s11600-018-0226-y

4. Bookhagen B (2013) High resolution spatiotemporal distribution of rainfall seasonality and extreme events based on a 12-year TRMM time series. http://www.geog.ucsb.edu/~bodo/TRMM/index.php.

5. de Borges P, A, Franke J, da Anunciação YMT, et al (2016) Comparison of spatial interpolation methods for the estimation of precipitation distribution in Distrito Federal, Brazil. Theoret Appl Climatol 123:335–348. https://doi.org/10.1007/s00704-014-1359-9

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