A 5-km gridded product development of daily temperature and precipitation for Bangladesh, Nepal, and Pakistan from 1981 to 2016

Shaukat Ali; Zulfiqar A. Bhutta; Michelle S. Reboita; Muhammad Arif Goheer; Shiva Ebrahimi; Jose Roberto Rozante; Rida S. Kiani; Sher Muhammad; Firdos Khan; Md Mizanur Rahman; Madan L. Shreshta; Li Dan

doi:10.1002/gdj3.217

A 5-km gridded product development of daily temperature and precipitation for Bangladesh, Nepal, and Pakistan from 1981 to 2016

Shaukat Ali, Zulfiqar A. Bhutta, Michelle S. Reboita, Muhammad Arif Goheer, Shiva Ebrahimi, Jose Roberto Rozante, Rida S. Kiani, Sher Muhammad, Firdos Khan, Md Mizanur Rahman, Madan L. Shreshta, Li Dan

Research output: Contribution to journal › Article › peer-review

Abstract

Many efforts have been made by the scientific community to produce gridded datasets with high spatial resolution because they are essential for climate change assessment, impact studies, decision-making, etc. This study fits into this context and describes the methods used to prepare a 5-km gridded product of precipitation and minimum and maximum temperatures by merging observed data from meteorological stations, from 1981 to 2016, of Bangladesh, Nepal, and Pakistan with ERA5 reanalysis. The step-by-step methods for station data quality control and the development of the 5-km gridded data are presented. Additionally, we use the 5-km dataset to show the main climate features of the three countries, which facilitate comparison with other data sources in the literature.

Original language	English
Journal	Geoscience Data Journal
DOIs	https://doi.org/10.1002/gdj3.217
Publication status	Accepted/In press - 2023
Externally published	Yes

Keywords

climate change
climate variability
gridded data
high-resolution

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1002/gdj3.217

Cite this

Ali, S., Bhutta, Z. A., Reboita, M. S., Goheer, M. A., Ebrahimi, S., Rozante, J. R., Kiani, R. S., Muhammad, S., Khan, F., Rahman, M. M., Shreshta, M. L., & Dan, L. (Accepted/In press). A 5-km gridded product development of daily temperature and precipitation for Bangladesh, Nepal, and Pakistan from 1981 to 2016. Geoscience Data Journal. https://doi.org/10.1002/gdj3.217

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title = "A 5-km gridded product development of daily temperature and precipitation for Bangladesh, Nepal, and Pakistan from 1981 to 2016",

abstract = "Many efforts have been made by the scientific community to produce gridded datasets with high spatial resolution because they are essential for climate change assessment, impact studies, decision-making, etc. This study fits into this context and describes the methods used to prepare a 5-km gridded product of precipitation and minimum and maximum temperatures by merging observed data from meteorological stations, from 1981 to 2016, of Bangladesh, Nepal, and Pakistan with ERA5 reanalysis. The step-by-step methods for station data quality control and the development of the 5-km gridded data are presented. Additionally, we use the 5-km dataset to show the main climate features of the three countries, which facilitate comparison with other data sources in the literature.",

keywords = "climate change, climate variability, gridded data, high-resolution",

author = "Shaukat Ali and Bhutta, {Zulfiqar A.} and Reboita, {Michelle S.} and Goheer, {Muhammad Arif} and Shiva Ebrahimi and Rozante, {Jose Roberto} and Kiani, {Rida S.} and Sher Muhammad and Firdos Khan and Rahman, {Md Mizanur} and Shreshta, {Madan L.} and Li Dan",

note = "Funding Information: This work is supported by the project of Asia‐Pacific Network for Global Change Research (APN) titled “Towards robust projections of climate extremes and adaptation plans over South Asia: CRRP2018‐04MYAli”. The authors also thank all centres that provided the data used in the study. We also get technical support from the Cryosphere Initiative of the International Centre for Integrated Mountain Development (ICIMOD). Publisher Copyright: {\textcopyright} 2023 The Authors. Geoscience Data Journal published by Royal Meteorological Society and John Wiley & Sons Ltd.",

year = "2023",

doi = "10.1002/gdj3.217",

language = "English",

journal = "Geoscience Data Journal",

issn = "2049-6060",

publisher = "John Wiley & Sons Inc.",

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T1 - A 5-km gridded product development of daily temperature and precipitation for Bangladesh, Nepal, and Pakistan from 1981 to 2016

AU - Ali, Shaukat

AU - Bhutta, Zulfiqar A.

AU - Reboita, Michelle S.

AU - Goheer, Muhammad Arif

AU - Ebrahimi, Shiva

AU - Rozante, Jose Roberto

AU - Kiani, Rida S.

AU - Muhammad, Sher

AU - Khan, Firdos

AU - Rahman, Md Mizanur

AU - Shreshta, Madan L.

AU - Dan, Li

N1 - Funding Information: This work is supported by the project of Asia‐Pacific Network for Global Change Research (APN) titled “Towards robust projections of climate extremes and adaptation plans over South Asia: CRRP2018‐04MYAli”. The authors also thank all centres that provided the data used in the study. We also get technical support from the Cryosphere Initiative of the International Centre for Integrated Mountain Development (ICIMOD). Publisher Copyright: © 2023 The Authors. Geoscience Data Journal published by Royal Meteorological Society and John Wiley & Sons Ltd.

PY - 2023

Y1 - 2023

N2 - Many efforts have been made by the scientific community to produce gridded datasets with high spatial resolution because they are essential for climate change assessment, impact studies, decision-making, etc. This study fits into this context and describes the methods used to prepare a 5-km gridded product of precipitation and minimum and maximum temperatures by merging observed data from meteorological stations, from 1981 to 2016, of Bangladesh, Nepal, and Pakistan with ERA5 reanalysis. The step-by-step methods for station data quality control and the development of the 5-km gridded data are presented. Additionally, we use the 5-km dataset to show the main climate features of the three countries, which facilitate comparison with other data sources in the literature.

AB - Many efforts have been made by the scientific community to produce gridded datasets with high spatial resolution because they are essential for climate change assessment, impact studies, decision-making, etc. This study fits into this context and describes the methods used to prepare a 5-km gridded product of precipitation and minimum and maximum temperatures by merging observed data from meteorological stations, from 1981 to 2016, of Bangladesh, Nepal, and Pakistan with ERA5 reanalysis. The step-by-step methods for station data quality control and the development of the 5-km gridded data are presented. Additionally, we use the 5-km dataset to show the main climate features of the three countries, which facilitate comparison with other data sources in the literature.

KW - climate change

KW - climate variability

KW - gridded data

KW - high-resolution

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DO - 10.1002/gdj3.217

M3 - Article

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SN - 2049-6060

JO - Geoscience Data Journal

JF - Geoscience Data Journal

ER -

A 5-km gridded product development of daily temperature and precipitation for Bangladesh, Nepal, and Pakistan from 1981 to 2016

Abstract

Keywords

UN SDGs

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