University of Hertfordshire

High-Resolution Dynamic Downscaling of Winter Climate over the Himalaya

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Standard

High-Resolution Dynamic Downscaling of Winter Climate over the Himalaya. / Tiwari, P. R. ; Tiwari, Sarita; Kar, S.C.

Climate Change and the White World. ed. / Prem Shankar Goel; Ravindra Rasik; Sulagna Chattopadhyay. Springer, 2019. p. 101-118.

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Harvard

Tiwari, PR, Tiwari, S & Kar, SC 2019, High-Resolution Dynamic Downscaling of Winter Climate over the Himalaya. in PS Goel, R Rasik & S Chattopadhyay (eds), Climate Change and the White World. Springer, pp. 101-118. https://doi.org/10.1007/978-3-030-21679-5_8

APA

Tiwari, P. R., Tiwari, S., & Kar, S. C. (2019). High-Resolution Dynamic Downscaling of Winter Climate over the Himalaya. In P. S. Goel, R. Rasik, & S. Chattopadhyay (Eds.), Climate Change and the White World (pp. 101-118). Springer. https://doi.org/10.1007/978-3-030-21679-5_8

Vancouver

Tiwari PR, Tiwari S, Kar SC. High-Resolution Dynamic Downscaling of Winter Climate over the Himalaya. In Goel PS, Rasik R, Chattopadhyay S, editors, Climate Change and the White World. Springer. 2019. p. 101-118 https://doi.org/10.1007/978-3-030-21679-5_8

Author

Tiwari, P. R. ; Tiwari, Sarita ; Kar, S.C. / High-Resolution Dynamic Downscaling of Winter Climate over the Himalaya. Climate Change and the White World. editor / Prem Shankar Goel ; Ravindra Rasik ; Sulagna Chattopadhyay. Springer, 2019. pp. 101-118

Bibtex

@inbook{cb619115b9ce4767b412846dcf645f62,
title = "High-Resolution Dynamic Downscaling of Winter Climate over the Himalaya",
abstract = "Observed climate data are few over the inaccessible regions of the Himalaya which limits the understanding of climate variability of this third pole. Therefore, dynamic downscaling methods need to be employed to obtain dynamically consistent high-resolution climate information over the Himalaya. In this study, dynamic downscaling simulations have been described that were obtained using a regional climate model (RegCM4) and the high-resolution WRF model. The WRF model was used to downscale observed coarse-resolution ERA-I data from 1991 to 2010. The RegCM4 used the hindcasts from a coarse resolution General Circulation Models (GCM) from 1982 to 2009. From the Weather Research and Forecast (WRF) model simulations, it was found that snowfall contributes to about 80% or more amount of total precipitation over the western Himalaya. Detailed vertical structure of circulation and temperature could be deciphered using the WRF model, especially during excess and deficit years of precipitation. Detailed examination of cloud microphysical processes shows that while the rain water confines to only lower levels, snow has maximum magnitude among all the hydrometeors during excess precipitation years. The RegCM4 model could simulate better skill in precipitation hindcasts than the GCM used to force it.",
author = "Tiwari, {P. R.} and Sarita Tiwari and S.C. Kar",
note = "{\textcopyright} Springer Nature Switzerland AG 2020.",
year = "2019",
month = oct,
day = "15",
doi = "10.1007/978-3-030-21679-5_8",
language = "English",
isbn = "9783030216795",
pages = "101--118",
editor = "Goel, {Prem Shankar} and Ravindra Rasik and Sulagna Chattopadhyay",
booktitle = "Climate Change and the White World",
publisher = "Springer",

}

RIS

TY - CHAP

T1 - High-Resolution Dynamic Downscaling of Winter Climate over the Himalaya

AU - Tiwari, P. R.

AU - Tiwari, Sarita

AU - Kar, S.C.

N1 - © Springer Nature Switzerland AG 2020.

PY - 2019/10/15

Y1 - 2019/10/15

N2 - Observed climate data are few over the inaccessible regions of the Himalaya which limits the understanding of climate variability of this third pole. Therefore, dynamic downscaling methods need to be employed to obtain dynamically consistent high-resolution climate information over the Himalaya. In this study, dynamic downscaling simulations have been described that were obtained using a regional climate model (RegCM4) and the high-resolution WRF model. The WRF model was used to downscale observed coarse-resolution ERA-I data from 1991 to 2010. The RegCM4 used the hindcasts from a coarse resolution General Circulation Models (GCM) from 1982 to 2009. From the Weather Research and Forecast (WRF) model simulations, it was found that snowfall contributes to about 80% or more amount of total precipitation over the western Himalaya. Detailed vertical structure of circulation and temperature could be deciphered using the WRF model, especially during excess and deficit years of precipitation. Detailed examination of cloud microphysical processes shows that while the rain water confines to only lower levels, snow has maximum magnitude among all the hydrometeors during excess precipitation years. The RegCM4 model could simulate better skill in precipitation hindcasts than the GCM used to force it.

AB - Observed climate data are few over the inaccessible regions of the Himalaya which limits the understanding of climate variability of this third pole. Therefore, dynamic downscaling methods need to be employed to obtain dynamically consistent high-resolution climate information over the Himalaya. In this study, dynamic downscaling simulations have been described that were obtained using a regional climate model (RegCM4) and the high-resolution WRF model. The WRF model was used to downscale observed coarse-resolution ERA-I data from 1991 to 2010. The RegCM4 used the hindcasts from a coarse resolution General Circulation Models (GCM) from 1982 to 2009. From the Weather Research and Forecast (WRF) model simulations, it was found that snowfall contributes to about 80% or more amount of total precipitation over the western Himalaya. Detailed vertical structure of circulation and temperature could be deciphered using the WRF model, especially during excess and deficit years of precipitation. Detailed examination of cloud microphysical processes shows that while the rain water confines to only lower levels, snow has maximum magnitude among all the hydrometeors during excess precipitation years. The RegCM4 model could simulate better skill in precipitation hindcasts than the GCM used to force it.

U2 - 10.1007/978-3-030-21679-5_8

DO - 10.1007/978-3-030-21679-5_8

M3 - Chapter (peer-reviewed)

SN - 9783030216795

SP - 101

EP - 118

BT - Climate Change and the White World

A2 - Goel, Prem Shankar

A2 - Rasik, Ravindra

A2 - Chattopadhyay, Sulagna

PB - Springer

ER -