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NetSTORM - DYNSYSTEM NetSTORM adapts selected algorithms originally included in the U S Army Corps of Engineers HEC-STORM program and extends the STORM methodology to simulate systems with multiple control structures
FileNewTemplate - DYNSYSTEM Green-Ampt-Mein-Larsen (GAML) 1973: Mein-Larson formulation for steady rainfall Prior to saturation < , = F Saturation occurs when
NetSTORM Support - DYNSYSTEM Papers and reports referencing NetSTORM are listed here Refer to the help file or the Introduction to NetSTORM PDF included with the program's installation for help getting started
Data Import and Export - DYNSYSTEM NetSTORM can read US NCDC meteorologic data in several formats, including the TD-32000 and TD-3240 formats that have been used for many years for storing and transmitting daily and hourly precipitation data
Precipitation Data Import Precipitation data formats that NetSTORM can read are shown on the precipitation data format page It is acceptable to have multiple raingages in a single file When processing is complete, NCDC data flags are displayed along with the converted data
SWMM 5 Simplification - DYNSYSTEM Import - data are loaded from a SWMM5 input file into the SWMM5Simplification mdb database in the NetSTORM software folder The user may bypass this step and manually populate the required data tables if the model is being built directly from a database
Read Menu - dynsystem. com Read NOAA temperature data- NOAA daily minimum and maximum temperature data can be read into a format that can be used by SWMM or in NetSTORM to perform snowfall and snowmelt calculations
IDF analysis - DYNSYSTEM NetSTORM displays the coefficient of variation in its results A trial and error approach should be used to identify the appropriate interevent time As examples, it has been found to be 12 hours for Dallas, 8 hours in Indianapolis, and 5 hours in Boston
Hourly Disaggregation The NetSTORM implementation of the continuous disaggregation algorithm allows stochastic disaggregation to either maintain the existing numerical significance of the original data, or to further resolve it by the ratio of the original time series interval to the new interval