Bangladesh

Historical, current and forecast climate conditions around the country.

Historical
This interface allows users to view rainfall, maximum and minimum temperature climatologies (1981-2007) and anomalies (1961-2007).
The Maproom explores historical daily precipitation by calculating simple seasonal statistics.
The Maproom explores historical daily temperature by calculating simple seasonal statistics.
The Maproom explores historical rainy season onset date based on user-defined definitions. The date when the rainy season starts is critical to agriculture planification, in particular for planting.
This Maprooms explores the predictability of weather-within-climate variability of rainfall by the state of ENSO.
This map shows the historical probability of seasonal weather-within-climate temperature characteristics falling within the upper (High), middle (normal), or bottom (Low) one-third ("tercile") of the 1961-2007 historical distribution in Bangladesh given the state of ENSO (El Niño, Neutral, La Niña) during that same season.
This maproom presents an approximate decomposition by time scale of twentieth-century precipitation variations.
This maproom presents an approximate decomposition by time scale of 2nd-half twentieth-century temperature variations.
Monitoring
The Standardized Precipitation Index is an indicator of extreme rainfall events, whether they are drought or excess rainfall.
Forecasts
Calibrated Subseasonal Tercile categories precipitation experimental forecasts issued 1-2 months behind real time.
Subseasonal skill score based on the historical performance of each model and their multi-model ensemble.
This seasonal forecasting system consists of probabilistic precipitation seasonal forecasts based on the full estimate of the probability distribution.
This seasonal forecasting system consists of probabilistic temperature seasonal forecasts based on the full estimate of the probability distribution.
The seasonal forecast for above-, below- and near-normal precipitation from the IRI.
The seasonal forecast for above-, below- and near-normal temperature from the IRI.