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Probability of Seasonal Temperature Characteristics Tercile Conditioned on 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.

Here, the ENSO state for each season is defined according to the Oceanic Niño Index (ONI). It is calculated using Sea Surface Temperature (SST) anomalies, based on centered 30-year base periods updated every 5 years, in the geographical box (170˚W, 5˚S, 120˚W, 5˚N). A season is considered El Niño (La Niña) if it is part of at least 5 consecutive overlapping 3-month long seasons where the ONI is above 0.5˚C (below -0.5˚C). Use the controls on the page to select the season, rainfall tercile category of interest, and ENSO state. The analysis reproduces, using same SST dataset, the following definition from NOAA.

Clicking on the map will then display, for the selected point, yearly seasonal temperature weather-within-climate time series. The color of the bars depict what ENSO phase it was that year, and the horizontal lines show the historical terciles limits. This allows to quickly picture what years fell into what ENSO Phase and into what Temperature Tercile category.

The analysis can also be done on temperature averaged over Bangladesh's Provinces and Districts administrative boundaries. Use the menu in the top Control Bar to choose at which spatial level you wish to work, then, to select an area, you can either click on the map (layers of the contours of the different administrative levels can be activated for visualization in the Layers control of the map); or select a name in the drop down menu generated accordingly to the spatial level selected. Note that this drop down menu lists only names of areas that are currently in view on the map. Note also that in the case of 2nd level of administration, if the list is too long, it won't show up or update: zoom over the map to make the list shorter.

NB: This is not a forecast. It is based on historical observations of temperature and SST. However, it would be a good tool for exploring the effect of different ENSO phases on seasonal temperature.

Reference for ENSO phases definition: V. E. Kousky and R. W. Higgins, 2007: An Alert Classification System for Monitoring and Assessing the ENSO Cycle. Wea. Forecasting, 22, 353–371. doi: http://dx.doi.org/10.1175/WAF987.1

Options

Years and Season: Specify the range of years over which to perform the analysis, and choose the start and end dates of the season over which the diagnostics are to be performed.

Hot/Cold Day Definition: This threshold is used to define in Celsius degrees (non inclusive) the temperature under which a day is considered cold if the mean temperature is below it; or the temperature above which a days is considered hot if the mean temperature is above it; or the reference temperature to compute the growing/chilling degree days.

Seasonal daily statistics: Choose the seasonal diagnostic quantity (i.e the statistic of the daily data) to be computed for each season, from the following choices.

Growing/Chilling Degree Days: Growing or chilling degree days are summations of positive/negative differences between the mean daily temperature and user-defined reference base temperature during the season. They are comparable to the more familiar cooling/heating degree day definitions utilized by energy-sector.
Number of Cold and Hot days: the number of cold or hot days during the season according to the user-defined threshold and according to the mean daily temperature.

Spatial Resolution: The analysis is performed and mapped at each grid point.

Dataset Documentation

Data Source: Asian temperature products created by the Research Institute for Humanity and Nature and Meteorological Research Institute of Japan Meteorological Agency: Asian temperature from APHRODITE.

Data Source: Sea Surface Temperature : Extended Reconstructed Sea Surface Temperatures (ERSST), at 2˚ spatial resolution, produced by NOAA CDC.

How to use this interactive map

Helpdesk

Contact help@iri.columbia.edu with any technical questions or problems with this Map Room.