Rainfall for Modern Flood Hazard Assessment
Welcome to Web-based RainyDay Beta! RainyDay is a framework for generating large numbers of realistic extreme rainfall scenarios based on remotely-sensed precipitation fields. It is founded on a statistical resampling concept known as stochastic storm transposition (SST). These rainfall scenarios can then be used to examine the extreme rainfall statistics for a user-specified region, or to drive a hazard model (usually a hydrologic model).
This web-based version of RainyDay is intended to make the software more accessible. We highly recommend reading the related publications and the supporting documentation and example “.sst” file here, and viewing the related YouTube videos here. The “Basic Version” includes a graphical mapping interface but otherwise very limited options. THE BASIC VERSION IS INTENDED FOR DEMONSTRATION PURPOSES ONLY! The “Advanced Version” provides most of the features available in the standalone version of RainyDay. For users who intend to perform detailed analyses, we recommend the configuring the standalone version of RainyDay, available on Github. Please contact us if you have questions or comments about this web interface. RainyDay is published under the MIT License for open source distribution (see https://opensource.org/licenses/MIT/).
Daniel Wright (firstname.lastname@example.org)
The development of RainyDay was sponsored by The NASA Postdoctoral Program. The development of the web-based version was supported by the Research and Development Office at the Bureau of Reclamation (see here).
Additional useful references include:
- Wright, D.B., R. Mantilla, and C.D. Peters-Lidard. “A remote sensing-based tool for assessing rainfall-driven hazards,” Environmental Modelling & Software 90 (34-54), 2017.
- Wright, D.B., J.A. Smith, M.L. Baeck. “Flood Frequency Analysis Using Radar Rainfall Fields and Stochastic Storm Transposition,” Water Resources Research, 50 (1592-1615), 2014.
- Wright, D.B., J.A. Smith, G. Villarini, M.L. Baeck. “Estimating the frequency of extreme rainfall using weather radar and stochastic storm transposition,” Journal of Hydrology, 448(150-165), 2013.
NOTE: THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.