About temperature forecast table

HHFS receives temperature forecast data from the Hungarian Meteorological Service twice a day. Forecast data are given on a regular grid which covers all subcatchment areas included in HHFS hydrological forecast system. From incoming temperature forecast data mean areal values are produced for various time intervals and subcatchments using different methods (including HHFS' own developed downscaling and parameter estimation methods). After data processing phase maps and tables are produced in order to give an adequate representation of the forecasts for hydrological purposes.
The meteorological model used by HHFS is run twice a day, namely at 00 UTC and 12 UTC. Products based on the first model run are published on this site shortly after 9 a.m. during summer time (respectively after 8 a.m. in the rest of the year), correspondingly data of the second model run are published after 9 p.m. during summer time (respectively after 8 p.m. in the rest of the year).
In case of the first model run "Day 1" in the table header refers to the day of the model run. For example in the forecast table of the model run on 12 July 2008 at 00 UTC, the "Day 1/Max." column contains mean areal maximum temperature values expected in the period 12 July 2008 12 UTC - 12 July 2008 18 UTC, while the "Day 2/Min." column contains mean areal minimum temperature values expected in the period 13 July 2008 00 UTC - 13 July 2008 06 UTC.
In case of the second model run "Day 1" in the table header refers to the subsequent day. For example in the forecast table of the model run on 3 July 2014 at 12 UTC, the "Day 1/Min." column contains mean areal minimum temperature values expected in the period 4 July 2014 00 UTC - 4 July 2014 06 UTC, while the "Day 1/Max." column contains mean areal maximum temperature values expected in the period 4 July 2014 12 UTC - 4 July 2014 18 UTC.
Due to HHFS' continuous development activity mean areal temperature forecast values are produced not only for main subcatchments, but also for smaller ones which are of crucial importance in runoff processes.