Near the coast, the center of the analysis square might be in the water - and sometimes you see the effects of an elevated land mass on the coast. Why is there a weather station in the ocean with a non-zero elevation?īecause the climate simulations are done on a grid, the elevations are averaged within that grid. The MM5 simulations were then used to fill those gaps (2006 dataset). RUC was used for most of the data (2004 dataset), but there were some gaps in the data.
#WEATHER DATA ECOTECT DOWNLOAD UPDATE#
The specific models that were used to create the Green Building Studio Weather Stations are: Rapid Update Cycle (RUC) and Mesoscale Meteorological Model version 5 (MM5). After 48-hours of simulation, the data is added to record that will become the data file for the year, and the model is re-initialized with a fresh set of assimilated observations. As the length of the simulation grows, minute differences between reality and the initial model conditions are magnified and compounded upon. The weather prediction models used exhibit high skill at forecasting weather in the first 48 hours of the simulation period. The simulations are initialized with meteorological data assimilated from a variety of sources, including: surface reporting stations and buoys, commercial aircraft, wind profilers, rawinsondes, dropwinsondes, Radio Acoustic Sounding System (RASS), Velocity-Azimuth Display (VAD) winds from Doppler radar, GOES, GPS, and SSM/I satellite data. The resulting virtual weather station is located at the center of each grid square. An analysis area of several hundred square kilometers is broken-up into a grid of 10 and 20 square kilometer segments - and the simulation is run within each square of that grid. The data at virtual weather stations come from a numerical weather prediction (NWP) model that is based on the physics of the atmosphere and projects the weather variables of interest. To know what year the data comes from, look at the name of the virtual weather station: if it is "GBS_04" it is from 2004, for example.Įven so, this data may be more appropriate for building sites than the closest physical weather station, especially in areas of significant terrain and elevation variability and when the building or TMY station are near significant bodies of water. As a result, this is not climate data and any extremes or anomalies that occurred in that year are reflected in the data.
Unlike the TMY2 data, no effort has been made to select data to be more characteristic of the climate.
This data comes from simulations of specific years (20). It was created to allow more accurate simulations in places where there isn't a physical weather station. Virtual weather stations ("Green Building Studio weather stations" - 1.6 million stations)Īutodesk Climate Server includes about 1.6 million virtual weather stations based on numerical meteorological simulations.
The Autodesk Climate Server is a distribution channel that aggregates and delivers climate and weather data from several sources, using several methodologies:
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