Bihar Climate Maproom

A collection of interactive maps for assessing climate conditions and risks over Bihar, based on past and current IMD high-resolution daily rainfall and temperature data, and IRI seasonal climate forecasts.

Clicking anywhere on the maps brings up time series of chosen quantities at the district level.

    Maps of wet and dry spell characteristics. Click on map to plot a yearly time series for a district.
    Maps of hot, cold and growing degree day characteristics. Click on map to plot a yearly time series for a district.
    Maps of average rainy season onset date, computed using an agronomic definition, with user-defined parameters.
    Rainfall forecasts up to 7 months ahead, with forecast confidence expressed using tercile category probabilities.
    This seasonal forecasting system consists of probabilistic precipitation seasonal forecasts based on the full estimate of the probability distribution.
    Click anywhere over land on the map to see barplots of long-term-mean monthly precipitation, monthly average of daily maximum, minimum, and mean temperature.
    A map of Bihar showing (5-day) averaged rainfall amounts in near real time. Click on the map to see a time series for the current year.
    This map shows values of the monthly Standardized Precipitation Index (SPI) for a user-selected accumulation period (3, 6, 9, or 12-month) for the globe, based upon observed monthly precipitation totals from the Climate Prediction Center's (CPC) Gauge - OLR Blended (GOB) daily precipitation analysis (combined retrospective and real-time, accumulated to monthly). The SPI maps provide an indication of short-term to longer-term wet (green, positive SPI) or dry (yellow to red, negative SPI) conditions based upon precipitation alone. The negative half of the color scale uses the same colors and thresholds of SPI corresponding to the percentiles associated with the D0 (30%tile) to D4 (2%tile) drought intensity categories used in the U. S. Drought Monitor.
    This tool displays maps of probabilistic forecasts of the Standardized Precipitation Index (SPI, for 3, 6, 9, or 12-month accumulation periods) for the globe based on monthly precipitation predictions from 6 NMME models and the initial observed condition. For locations and seasons where NMME does not show demonstrable skill, the SPI forecasts are based on a persistence methodology.
    This maproom shows how seasonal rainfall statistics, including dry and wet spells, have varied over the past 100 years, and what trends exist for Bihar districts.
    This maproom shows how temperature has varied over the past 100 years, and what trends exist for Bihar districts.