ABSTRACT:

Full code and climate data (except the HADISST dataset, due to its 1 GB size) for the paper "Identifying Teleconnections for the Monsoon Rainfall of Karachi Pakistan" by K. E. Schlef & H. F. Khan, submitted to the International Journal of Climatology in November 2024. The daily rainfall data must be requested directly from the Pakistan Meteorologic Department and Pakistan Air Force.

ABSTRACT:

Supporting code and data for Figures 1 and 4 of the IDF Curve Review paper submitted to Journal of Hydrology

ABSTRACT:

This is processed data and code associated with Schlef et al. (2020). Comparing Flood Projection Approaches Across Hydro-Climatologically Diverse United States River Basins https://doi.org/10.1029/2019WR025861

ABSTRACT:

This is the code and analyzed data used for the paper:
Schlef, K. E., Moradkhani, H. & Lall, U. (2019) Atmospheric Circulation Patterns Associated with Extreme United States Floods Identified via Machine Learning. Scientific Reports 9:7171. https://doi.org/10.1038/s41598-019-43496-w

This paper can be accessed via this link: https://rdcu.be/bAZhn

The website associated with this paper is: https://kschlef.shinyapps.io/ExtremeFloods/

ABSTRACT:

This is the code and processed data for the paper "A General Methodology for Climate Informed Approaches to Long-Term Flood Projection - Illustrated with the Ohio River Basin", which has been submitted to Water Resources Research.