User profiles for Soroosh Mani
 | Soroosh ManiSpatial Front Inc. / NOAA NOS Storm Surge Verified email at noaa.gov Cited by 9 |
A parallel Python-based tool for meshing watershed rivers at continental scale
A major challenge in compound flooding simulation is representing small rivers in the model
mesh. A parallel Python-based tool is developed to support the construction of unstructured …
mesh. A parallel Python-based tool is developed to support the construction of unstructured …
On-demand automated storm surge modeling including inland hydrology effects
This project is a multi-agency (National Oceanic and Atmospheric Administration, US Geological
Survey, and Office of Naval Research) collaboration with academia (Virginia Institute of …
Survey, and Office of Naval Research) collaboration with academia (Virginia Institute of …
[PDF][PDF] OCSMesh: a data-driven automated unstructured mesh generation software for coastal ocean modeling
In this document we introduce OCSMesh, an unstructured mesh generation Python tool for
coastal modeling application. OCSMesh uses an object oriented programming paradigm for …
coastal modeling application. OCSMesh uses an object oriented programming paradigm for …
Total water level prediction at continental scale: Coastal ocean
We demonstrate recent progress made in the simulation of total water level (TWL) at continental
scale, using the coastal ocean of US East Coast/Gulf of Mexico coast as an example. A …
scale, using the coastal ocean of US East Coast/Gulf of Mexico coast as an example. A …
Bathymetric Mesh Simplification and Modelled Coastal Ocean Tides in New York Harbor
Accurate and timely predictions from operational forecast systems are crucial for disaster
response planning during extreme weather events. Many of these forecast systems utilize …
response planning during extreme weather events. Many of these forecast systems utilize …
Multiplatform Automated On-demand Modeling System for Coastal Storm Surge Including Inland Hydrology Extremes
One of the biggest challenges faced by NOAA is to accurately predict flooding in the event of
major hurricanes. This becomes even more challenging with coastal storm surge coincident …
major hurricanes. This becomes even more challenging with coastal storm surge coincident …
[PDF][PDF] Description of a Python script to implement a probabilistic surrogate model for predicting tropical cyclone driven flood depth and extent
Description of a Python Script to Implement a Probabilistic Surrogate Model for Predicting
Page 1 NOAA Technical Memorandum NOS CS 59 Description of a Python Script to Implement …
Page 1 NOAA Technical Memorandum NOS CS 59 Description of a Python Script to Implement …
[PDF][PDF] UFS Coastal Applications Team Report: Round 1 Summary of a Unified Forecast System Model Evaluation for Marine Navigation
The Unified Forecast System (UFS) Coastal Application Team (CAT) has developed model
evaluation recommendations for selecting NOAA’s next-generation numerical oceanographic …
evaluation recommendations for selecting NOAA’s next-generation numerical oceanographic …
[PDF][PDF] Impacts of Wave-Current Interactions on Storm Surge during the Passage of Hurricane Ian (2022): An Application of the UFS-Coastal Modeling Framework
…, U Turuncoglu, YJ Zhang, S Mani… - 104th AMS Annual …, 2024 - ams.confex.com
… Joseph Zhang5, Soroosh Mani6,1, Bahram Khazaei3,1 and Edward Myers1 …
Evaluating the effect of inland hydrology and hurricane model on the probabilistic prediction of tropical cyclone (TC) driven coastal flooding
Tropical cyclone (TC)-driven storm surges may result in severe social and economic losses
in near-shore regions. Timing and accuracy of storm surge forecasts play a key role in …
in near-shore regions. Timing and accuracy of storm surge forecasts play a key role in …