Evaluation of LARS-WG for generating long term data for assessment of climate change impact in Bihar

Authors

  • A. ABDUL HARIS ICAR Research Complex for Eastern Region, PO B V College, Patna – 800 014
  • M. A. KHAN ICAR Research Complex for Eastern Region, PO B V College, Patna – 800 014
  • VANDANA CHHABRA ICAR Research Complex for Eastern Region, PO B V College, Patna – 800 014
  • SANDEEP BISWAS ICAR Research Complex for Eastern Region, PO B V College, Patna – 800 014
  • ARVIND PRATAP ICAR Research Complex for Eastern Region, PO B V College, Patna – 800 014

DOI:

https://doi.org/10.54386/jam.v12i2.1305

Keywords:

Weather generators, weather data, climate change

Abstract

Long term weather data is requisite to drive physically based hydrological and crop growth models to assess climate change impacts. However, lack of sufficient historical weather data many a times restrict use of these models. Realization of above facts has resulted in development of a range of weather generators such as WGEN, CLIGEN, ClimGen and LARS-WG. Any generator must be tested to ensure that the data that it produces is satisfactory for the purposes for which it is to be used. The aim of this paper is to test a commonly used weather generator, LARSWG (version 4.0) at three sites at Bihar. Statistical test were conducted, including t-test and Ftest, to compare the differences between generated weather data versus 30 years observed weather data. In recent years the weather generators have also been employed to construct climate change scenarios for impact assessment. The results showed that the generated weather series was similar to the observed data for its distribution of monthly precipitation and its variances, monthly means and variance of minimum and maximum air temperatures.

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Published

01-12-2010

How to Cite

A. ABDUL HARIS, M. A. KHAN, VANDANA CHHABRA, SANDEEP BISWAS, & ARVIND PRATAP. (2010). Evaluation of LARS-WG for generating long term data for assessment of climate change impact in Bihar. Journal of Agrometeorology, 12(2), 198–201. https://doi.org/10.54386/jam.v12i2.1305

Issue

Vol. 12 No. 2 (2010): December

Section

Research Paper

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