Introduction and comparison of the performance of two global reanalysis databases in estimating daily maximum, minimum, and average air temperatures (case study: Helleh River basin)

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Shokri Koochak Saeed; AKHOND ALI ALI MOHAMMAD; SHARIFI MOHAMMAD REZA

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF GEOPHYSICS Year:2019 | Volume:13 | Issue:3 Page(s): 53-68

Download Full-Text

Persian Verion

View:

443

Download:

Cites:

Information Journal Paper

Title

Introduction and comparison of the performance of two global reanalysis databases in estimating daily maximum, minimum, and average air temperatures (case study: Helleh River basin)

Author(s)

Shokri Koochak Saeed | AKHOND ALI ALI MOHAMMAD | SHARIFI MOHAMMAD REZA | Issue Writer Certificate

Keywords

Air temperatureQ2

evaluation reanalysis datasetsQ3

ECMWFQ1

MERRAQ1

Helleh River basinQ1

IranQ1

Abstract

Estimating Air temperature plays an important role in many water and energy balance calculations, hydrological modeling, meteorological and agricultural studies. Changes in Air temperature influence on plant growth and many other components at the interface between earth surface and atmosphere. The most common sources for Air temperature time series are meteorological stations. However, meteorological networks are sparse in complex terrains, such as mountains. This is mainly due to difficulties with the installation and maintenance of the stations. The Air temperature can also be calculated using climate model and reanalysis datasets. The purpose of this study was to introduce two meteorological reanalysis databases: the European Center for Medium-Range Weather Forecasts (ECMWF) and Modern-Era Retrospective Analysis for Research and Applications (MERRA), and evaluation of their performance in estimating daily maximum, minimum and average Air temperature. In this regard, maximum, minimum and average Air temperature data at daily scale for a period of 14 years from 2003 to 2016 (5114 days) were obtained from 12 temperature measurement stations in Helleh River basin area in south of Iran and the Persian Gulf coasts. The elevation correction and downscaling temperature based on modeled lapse rate are used for correcting two meteorological reanalysis datasets. The correlation coefficient (CC), mean error (ME) and squared mean of errors (RMSE) were used to evaluate the presented datasets. The results showed that the compliance rate of reanalysis datasets in all parameters of maximum, minimum, and average Air temperature are appropriate, but the ECMWF-ERA-Interim version dataset is much better than the MERRA version 2 dataset. The correlation coefficients for all parameters of maximum, minimum and average Air temperature are more than 0. 9. Also, the performance of both datasets in estimating the average Air temperature at daily scale is better than the maximum and minimum Air temperature at daily scale. Both databases are also underestimated in estimating maximum temperature data and overestimated in estimating minimum data. The average Air temperature at daily scale is estimated slightly warmer (0. 4° C) from the ECMWF-ERA-Interim version dataset, while the MERRA dataset of version 2 estimates the mean of Air temperature colder (-0. 5° C). Finally, the use of daily Air temperature parameters (maximum, minimum and average) of the ECMWF ERA-Interim dataset is more preferable than MERRA version 2 dataset. Considering the proper performance of reanalysis datasets and using their advantages, we suggest evaluating other meteorological parameters.

Cites

No record.

References

No record.

Cite

APA: Copy

Shokri Koochak, Saeed, AKHOND ALI, ALI MOHAMMAD, & SHARIFI, MOHAMMAD REZA. (2019). Introduction and comparison of the performance of two global reanalysis databases in estimating daily maximum, minimum, and average air temperatures (case study: Helleh River basin). IRANIAN JOURNAL OF GEOPHYSICS, 13(3 ), 53-68. SID. https://sid.ir/paper/133901/en

Vancouver: Copy

Shokri Koochak Saeed, AKHOND ALI ALI MOHAMMAD, SHARIFI MOHAMMAD REZA. Introduction and comparison of the performance of two global reanalysis databases in estimating daily maximum, minimum, and average air temperatures (case study: Helleh River basin). IRANIAN JOURNAL OF GEOPHYSICS[Internet]. 2019;13(3 ):53-68. Available from: https://sid.ir/paper/133901/en

IEEE: Copy

Saeed Shokri Koochak, ALI MOHAMMAD AKHOND ALI, and MOHAMMAD REZA SHARIFI, “Introduction and comparison of the performance of two global reanalysis databases in estimating daily maximum, minimum, and average air temperatures (case study: Helleh River basin),” IRANIAN JOURNAL OF GEOPHYSICS, vol. 13, no. 3 , pp. 53–68, 2019, [Online]. Available: https://sid.ir/paper/133901/en

Related Journal Papers