|Series||SMRC -- no. 24|
|Contributions||SAARC Meteorological Research Centre.|
|The Physical Object|
|Pagination||30 p. :|
|Number of Pages||30|
|LC Control Number||2009310602|
However, climate data at the monthly, weekly, or daily scale, such as diurnal temperature range or number of days in a month with rainfall exceeding set thresholds, may better resolve the climate sensitivity of the mosquito life cycle (Lambrechts et al., ; Chen et al., ). Indeed, one of the challenges of moving toward the use of S2S Cited by: 3. New Tutorials for Using Subseasonal Climate Data J A new series of video tutorials, as well as a written walk-through, give step-by-step instructions for accessing, viewing and downloading subseasonal-to-seasonal (S2S) climate data. Seasonal forecasting is the prediction of the climate of forthcoming seasons, and in particular the extent to which the expected climate differs from the climate of previous years. In principle, climate encompasses everything â€“ number of rain days, expected risk of heatwaves, number of frost days etc. â€“ as well as simple Cited by: Some of the major dimensions of climate change include increase in surface temperature, longer spells of droughts in significant portions of the world, associated higher evapotranspiration rates, and so on. It is therefore essential to comprehend the future possible scenario of climate change in terms of global warming. A high resolution limited area Regional Climate Model (RCM) can produce Cited by:
Atmosphere, an international, peer-reviewed Open Access journal. Dear Colleagues, The Special Issue aims to gather good-quality, timely research on precipitation from a broad perspective, in order to inform on the current state-of-the-art in the field, and to identify . Actual and perceived causes of flood risk: climate versus anthropogenic effects in a wet zone catchment in Sri Lanka. Water International, 42(7) [DOI] Keywords / Abstract | Fulltext ( MB). Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation - edited by Christopher B. Field May Cited by: Climate Predictability Tool (CPT) Forecast Verification - Methods and FAQ Seasonal forecast of the Sudan-Sahel (10°W – 10°E, 9°N – 18°N) monsoonal rainfall using a multi-linear regression method applied to SSTAs in the Tropics. Sri Lanka. janaki. temp1. Bloomingdale's - Credit Services - View Account Info. utilities. Adobe Flash.
Vialard J, P Terray, J-P Duvel, R S Nanjundiah, S S C Shenoi and D Shankar, Factors Controlling January-April rainfall over southern India and Sri Lanka. Climate Dynam Nagaraj, S, V Natarajan and R S Nanjundiah, A Gradient- Based Comparison Measure for Visual Analysis of Multi eld Data. Computer Graphics. Data Analytics and Multi-scale Predictions, Floods/Droughts, Planning/Management, Risk Analysis Forecasting, Seasonal and longer predictions, Water, food, energy nexus: Abstract. A Hierarchal Bayesian model is presented for one season-ahead forecasts of summer rainfall and streamflow using exogenous climate variables for east central China. Rolf Reichle NASA Goddard Space Flight Center Global Modeling and Assimilation Office Mail Code Greenbelt Rd Greenbelt, MD , USA Phone: +1 () University of Peradeniya, Sri Lanka 1 [email protected] 2 [email protected] 3 [email protected] 4 [email protected] 5 [email protected] 6 [email protected] Abstract In view of enhancing renewable energy portfolio in electricity generation in Sri Lanka,File Size: 5MB.