Remo (climate model)
Remo ( own writing in capital letters , portmanteau word : regional model) is a system developed in Germany numerical regional climate model .
Similar to CCLM , and in contrast to statistical methods such as WETTREG or STAR, REMO is a dynamic climate model. The climatic variables are generated by solving physical-chemical systems of equations.
development
The model is a further development of the Europe model (EM) used by the German Weather Service (DWD) for weather forecasting . The goal was a model that is suitable for both weather forecasting and regional climate modeling. Development began in 1993, with the DWD and GKSS focusing primarily on the development of weather forecasting, while the German Climate Computing Center (DKRZ) and the Max Planck Institute for Meteorology (MPI-M) focused on climate modeling.
The physical parameterization can be taken from the EM as well as from the global climate model of the MPI ECHAM. The ECHAM parameterizations are mostly used for climate issues, as these are matched to climate simulations and thus the greatest possible consistency with the driving global model is achieved. In contrast to CCLM , REMO is a hydrostatic model, which means that no vertical acceleration of particles in the air is modeled. The maximum resolution is therefore at a mesh size of 0.088 ° or approximately 10 km. The model typically works with 29 layers vertically, the spacing of which is variable and is smallest in the troposphere .
As a grid model, like the CCLM, Remo is either embedded in the data of a global climate model (mostly ECHAM) or reanalysis data or initialized by this. The boundary conditions specify temperatures, pressure, wind and air humidity, while all other variables are calculated in the model itself. The lower edge surfaces of the model are the surface of the earth and the sea. The prognostic variables are the horizontal wind vector component, air pressure at ground level, air temperature, specific humidity and the liquid water content. For the earth's surface, the temperatures for five layers down to a depth of 10 m and the representative soil moisture are calculated. The earth's surface is characterized by its height above sea level, the surface and soil properties and the roughness.
literature
- Jacob et al .: A Comprehensive Model Intercomparison Study Investigating the Water Budget during the BALTEX-PIDCAP Period . In: Meteorology and Atmospheric Physics . tape 77 , no. 1-4 , 2001, pp. 19-43 .
- Bülow, K .: Time series analysis of regional temperature and precipitation simulations in Germany . 2010 ( online [PDF]).
- Degener, J .: Effects of regional climate change on the development of biomass yields of selected agricultural crops in Lower Saxony . 2013, p. 42-52 ( online ).
Web links
Individual evidence
- ^ A b D. Jacob, H. Göttel, S. Kotlarski, P. Lorenz and K. Sieck: Climate Impacts and Adaptation in Germany: Phase 1: Creation of regional climate scenarios for Germany: On behalf of the Federal Environment Agency . In: Climate Change . tape 11 . Federal Environment Agency, 2008, ISSN 1862-4359 .
- ↑ REMO-RCM - Introduction ( Memento of the original from February 3, 2014 in the Internet Archive ) Info: The archive link was automatically inserted and not yet checked. Please check the original and archive link according to the instructions and then remove this notice. (English). REMO project website. Retrieved January 25, 2014.
