Prediction of the August 2018 heavy rainfall events over Kerala with high-resolution NWP models

被引：26

作者：

Ashrit, Raghavendra ^{[1
]}

Sharma, Kuldeep ^{[1
]}

Kumar, Sushant ^{[1
]}

Dube, Anumeha ^{[1
]}

Karunasagar, S. ^{[1
]}

Arulalan, T. ^{[1
]}

Mamgain, Ashu ^{[1
]}

Chakraborty, Paromita ^{[1
]}

Kumar, Sumit ^{[1
]}

Lodh, Abhishek ^{[1
]}

Dutta, Devajyoti ^{[1
]}

Momin, Imranali ^{[1
]}

Bushair, M. T. ^{[1
]}

Prakash, Buddhi J. ^{[1
]}

Jayakumar, A. ^{[1
]}

Rajagopal, E. N. ^{[1
]}

机构：

[1] Natl Ctr Medium Range Weather Forecasting, Noida, Uttar Pradesh, India

来源：

METEOROLOGICAL APPLICATIONS | 2020年 / 27卷 / 02期

关键词：

ensemble model; extreme rainfall; probabilistic forecasts; NUMERICAL WEATHER PREDICTION; FORECASTS;

D O I：

10.1002/met.1906

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

The southern Indian state of Kerala experienced exceptionally high rainfall during August 2018, which led to devastating floods in many parts of the state. Prediction and early warning of severe weather events in vulnerable areas is crucial for disaster management agencies in order to protect life and property. In recent years, state-of-the-art numerical weather prediction (NWP) models have been used operationally to predict rainfall over different spatial and temporal scales. In the present paper, predictions based on the National Centre for Medium Range Weather Forecasting (NCMRWF) models (NCUM, NCUM-R and NEPS) are assessed over Kerala to demonstrate the capabilities of high-resolution models. It is found that the deterministic NWP model (NCUM and NCUM-R) forecasts are accurate at shorter lead times (up to Day 3) mainly in terms of timing and, to some extent, intensity. At higher lead times (beyond Day 3), the ensemble-based probabilistic forecasts are useful and actionable.

引用

页数：14

共 21 条

[1] Nonlinear Characteristics of Ensemble Perturbation Evolution and Their Application to Forecasting High-Impact Events
Ancell, Brian C.
[J]. WEATHER AND FORECASTING, 2013, 28 (06) : 1353 - 1365
[2] Barker D., 2011, MOSAC
[3] Spatial techniques applied to precipitation ensemble forecasts: from verification results to probabilistic products
Ben Bouallegue, Zied
Theis, Susanne E.
[J]. METEOROLOGICAL APPLICATIONS, 2014, 21 (04) : 922 - 929
[4] The effect of increased convective entrainment on Asian monsoon biases in the MetUM general circulation model
Bush, Stephanie J.
Turner, Andrew G.
Woolnough, Steven J.
Martin, Gill M.
Klingaman, Nicholas P.
[J]. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2015, 141 (686) : 311 - 326
[5] Operational implementation of a hybrid ensemble/4D-Var global data assimilation system at the Met Office
Clayton, A. M.
Lorenc, A. C.
Barker, D. M.
[J]. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2013, 139 (675) : 1445 - 1461
[6] A Review on Fabrication and Characterization of Copper Metal Matrix Composite (CMMC)
Gautam, Yash Kumar
Somani, Nalin
Kumar, Monu
Sharma, Sunil Kumar
[J]. PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON MECHANICAL AND MATERIALS SCIENCE ENGINEERING: INNOVATION AND RESEARCH-2018 (ICMMSE:IR 2018), 2018, 2018
[7] Using a case-study approach to improve the Madden-Julian oscillation in the Hadley Centre model
Klingaman, N. P.
Woolnough, S. J.
[J]. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2014, 140 (685) : 2491 - 2505
[8] The role of air-sea coupling in the simulation of the Madden-Julian oscillation in the Hadley Centre model
Klingaman, N. P.
Woolnough, S. J.
[J]. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2014, 140 (684) : 2272 - 2286
[9] High resolution numerical weather prediction over the Indian subcontinent
Kumar, T. S. V. Vijaya
Krishnamurti, T. N.
[J]. JOURNAL OF EARTH SYSTEM SCIENCE, 2006, 115 (05) : 529 - 555
[10] Comparison of Hybrid-4DEnVar and Hybrid-4DVar Data Assimilation Methods for Global NWP
Lorenc, Andrew C.
Bowler, Neill E.
Clayton, Adam M.
Pring, Stephen R.
Fairbairn, David
[J]. MONTHLY WEATHER REVIEW, 2015, 143 (01) : 212 - 229

← 1 2 3 →