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本帖最后由 hillside 于 2013-6-15 19:57 编辑
http://www.proclim.ch/4DCGI/all/index.html
http://www.climahom.eu/software-solution/proclimdb
ProClimDB software Software for processing climatalogical datasets
- [size=+1]General characteristics
- Database software for processing climatological datasets
- Automation of the processing (processing whole database or specified stations all at once)
- Full control over the processing: many parameters for computing can be set, various auxiliary outputs are created
- Open structure - you can define your own menus
- Flexible for modifying and adding new functions (FoxPro, R, ArcView)
- [size=+1]Brief technical description
- Two modes of processing: monthly or daily data, some functions work for x-minute data
- The files can be displayed using build-in Viewer of edited in MS-Excel
- Possibility to run own commands to manage the database tables, you can even launch scripts (sequence of commands)
- Software menu can be completely rebuilt, you can add new functions pointing to your own scripts
- Batch mode for processing sequence of commands
- [size=+1]Functionality description
- Import from TXT,DBF to DBF files, output data export to TXT files, MS-Excel, other formats ...
- Adjusting data
- creating cross-tables, restructuring to one data column
- calculating monthly, seasonal and annual averages (sums, extremes)
- calculating differences (ratios/log-ratios) between two series (e.g. tested and reference series)
- replacing values, transformations
- combining series, adjusting table structure etc.
- Data transformations
- standardization
- differencing
- filters
- grid points calculation
- Basic statistical characteristics computation
- Correlation coefficients calculation for pairs of stations
- Finding outliers and extreme values (interquartile ranges)
- Distribution fit testing, CDF, return period calculation
- normal distribution
- gamma distribution
- generalized extreme value (GEV) distribution
(output: CDF values, parameters of the distribution, fit test, values for P-P and Q-Q plot, etc.) - Further statistics: SPI, regional regression, RPI, ...
- Number of days characteristics (Daily data):
- applying limit value, minimum number of consecutive days
- getting count, percentage of days, effective or active sum, percentage of values
- day frequencies, k-day periods, ...
- Data quality control by comparing base station to its neighbours (the same options as for reference series calculation, see further)
- stations can be selected by combination of correlations, distances, difference in altitude, the same region
- standardization to base station AVG, STD, or altitude
- expected value calculation from neighbouring stations
- Series reconstructions
- finds near stations that can be used for combining (complementing) of missing periods
- Reference series calculation
- stations can be selected by combination of correlations, distances, difference in altitude, the same region
- (weighted) average from the best correlated stations
- (weighted) average from the nearest stations
- (weighted) average of all stations available for a given year and month (within a given region)
- standardization of neighbours to base station AVG, STD, altitude
(output: reference series, information file with list of stations used for calculation - can be modified, etc.) - Processing output from the AnClim software homogeneity testing
- Adjusting series for inhomogeneities
- various statistics for decision making about suggested adjustments (correlations improvement, t-tests, STD change, regression, etc.)
- smooting adjustments
- tools for daily data adjustments ("delta" method, "variable" correction such as HOM, SPLIDHOM, ...)
(output: values - adjustments for each month, t-test, change in correlations after the adjustments, etc.) - Filling missing values:
- from differences (ratios)
- using linear regression
(output: t and F test for periods to be used for filling missing values, etc.) - Tools for validation and correction of RCM (model) outputs:
- calculating station technical series for given grid points
- Bias,RMSE,MAE ... characteristics
- Comparing basic statistical characteristics of two datasets
- frequencies distribution (of differences, ...)
- variable corrections of model outputs (based on percentiles, ...)
- Connection with R software:
- launching of R scripts is available, thus you can prepare and process anything
(ProClimDB prepares intput, calls R functions and then gets the output back into ProClimDB environment) - Connection with ESRI ArcView 3.2:
- launching of ArcView (Avenue) scripts, so far available: getting point values from a Grid, calculating maps, summarize zones, converting ASC to Grid and back
(ProClimDB prepares intput, calls ArcView functions and then gets the output back into ProClimDB environment, full automatization - e.g. for all days, months, years, ...) - Processing in batch mode:
- all the needed tasks can be listed in a file and fulfilled by one button press. You just wait for the results ...
- [size=+1]Examples
- Example of menu
- Processing window
- Viewing a data file
- Creating reference series: proposed lists of stations in Ref_Info_file
- [size=+0]Documentation
- Documentation for the ProClimDB software
(Updated documentation can be found under Help menu of each software)
Using the software may require (in the beginning) the author's services - assistance - to get acquaint with the approach.
The downloaded version of the software expires after some time. One of the reasons is that I improve the software all the time and I want the users to work with the latest versions.
Reference to be used in publications: Stepanek, P. (2008): ProClimDB - software for processing climatological datasets. CHMI, regional office Brno.
Full Version of the ProClimDB Software
You can get a full version of the ProClimDB software in these cases:
[size=+0]- cooperation with me ( [size=-1]e-mail ) or my institute ( [size=-1]CHMI ) under some project (grant)
- paying for technical support of the software (price to be estimated individually according to requirements of the user)
- [size=+0]if you have any other idea, please write e-mail
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发表于 2013-6-15 19:56:28
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不错的东西 收藏了多谢分享