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# heat2urbanimpact
## Work assignment
Extension or composition of various existing plugins or program parts for the barrier-free transfer of meteorological data (representative of certain climatological heat events) into an urban climate model
## Input:
* predefined RCM data basis: NUKLEUS ensemble (9 member) → output is calculated for all 9 members
* predefined reference data, historical data, observational data: NUKLEUS ensemble (1961-1990, 2005-2014), DWD gridded station data → do we need this data also to calculate/define events?
* predefined frequency of output: 1h
* selectable in configuration:
* scenario resp. GWL: 2K, 3K
* region, shape file, split by (see Climpact and PreprocNUK?): municipality (dropdown menu) or shapefile (file upload) → fieldmean
* event: Astrid is still researching which are the most investigated events and time periods, e.g.
* repräsentitive summer day
* heat period (different length, see option below)
* Period with high thermal stress (is postponed for the time being, as many variables are included in the definition of a thermal index: tas (max), ground temperature, wind speed, air humidity, short/long-wave irradiation surface = radiation balance (tool available?))
* length of events: 1d - ~14d
* months of events (season is not differentiated enough): april, may, june, july, august, september
◦ optional: impact model: PALM4U, Envimet (data format will be different for output)
## Output:
* Data to download: 9 x timeseries (frequency: h, length: 1d - ~14d) of vertical temperature stratification (representative for selected event) which can be fed directly into an urban climate model
* optional add ons:
* tiemseries of reference data and observational data for comparison of future 2K/3K future with the past
* plot of all 9 timeseries (+ reference, observation) to visualize ensemble bandwidth (+ difference to past)
## preliminary work plan: → will be put into gitlab at some point to manage tasks, issues etc.
1. create gitlab project
2. research background and colllaboration, check existing tools/data:
* remapping und topography correction: PreprocNUK (Christoph)
* climpact with default settings to NUKLEUS-ensemble (Martin)
* calculation of heat events, meeting with Christoph, Marie, Christian, Miriam:
* PSI plugin, MHWId plugin? (Christoph, Marie)
* program to spot extreme events (Miriams PhD study?)
* KIT and BTU calculated various climate indices, also for heat waves (Christian)
* https://climpact-sci.org/indices/#index-HWM, /work/bb1203/ET-SCI
* number of individual heatwaves
* number of days that contribute to heatwaves
* length of the longest heatwave
* mean temperature of all heatwaves
* peak daily value in the hottest heatwave
* data processing for spatial and temporal format for selected impact model, is there a converter COSMO to PALM4U? → Astrid researches
3. create plugin input mask → heat2urbanimpact_control.py
4. coding: convert heat event definitions into code
5. coding: read needed data from freva data pool (see climpact) and consider PreProcNUK for hight correction of input data!!!
6. coding: convert RCM time series into impact model format
7.
#freva plugin development