Irene Garousi-Nejad
Recent Activity
ABSTRACT:
The notebook is intended to support a workshop workflow where participants create or update HydroShare resources from Python, add outputs from a separate analysis notebook, and organize those outputs within a HydroShare collection. It is designed as a practical reference for using HydroShare programmatically during the workshop and for documenting shared research outputs in a shared collection in HydroShare.
ABSTRACT:
This resource demonstrates a cloud-native workflow for accessing and analyzing Integrated Vapor Transport (IVT) data stored in HydroShare as a Zarr dataset. The notebook uses HydroShare’s S3-compatible access with xarray and Dask to stream data directly from cloud storage, avoiding the need to download the full dataset locally.
The example focuses on a 1970–2009 subset of CESM2 Large Ensemble historical simulation data near Bodega Bay, California, a region often affected by winter atmospheric rivers. The workflow subsets IVT data in space and time, identifies atmospheric river conditions using an IVT threshold of 250 kg m⁻¹ s⁻¹, assigns atmospheric river categories based on intensity and duration, and calculates an event-integrated IVT metric as a simple measure of event severity. The notebook also produces decadal summaries and maps of atmospheric river category and degree for the selected study area.
ABSTRACT:
Collection of materials to support the CUAHSI workshop (Essential Geospatial Data and Coding Skills for CIROH Researchers) at the 2026 CIROH Developers Conference in Salt Late City, Utah.
ABSTRACT:
STREAM is a collaborative framework designed to address the critical challenge of fragmented high-frequency water quality sensor datasets across the research community. STREAM provides standardized, integrated observations that enable synthesis and large-sample analyses previously limited by data accessibility. By bringing together sensor data from across the research community, STREAM enables hypothesis testing to understand temporal and spatial water quality dynamics at unprecedented scales.
This resource contains a subset of the STREAM data encoded in the Parquet file format.
ABSTRACT:
This resource is an archive of modeled National Water Model streamflow for six regions across Missouri and Vermont. The data is stored in the Parquet format to enable partial reads of the data without requiring full download.
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Created: Aug. 8, 2023, 10:20 p.m.
Authors: Wu, Yen-Yi · Fowler, Kat · Beene, Daniel · Jordan, Mallory · de Orla-Barile, Marian · Orok, Hodo · Garousi-Nejad, Irene
ABSTRACT:
result
Created: Sept. 12, 2025, 5:16 p.m.
Authors: Castronova, Anthony M.
ABSTRACT:
This resource is an archive of modeled National Water Model streamflow for six regions across Missouri and Vermont. The data is stored in the Parquet format to enable partial reads of the data without requiring full download.
ABSTRACT:
STREAM is a collaborative framework designed to address the critical challenge of fragmented high-frequency water quality sensor datasets across the research community. STREAM provides standardized, integrated observations that enable synthesis and large-sample analyses previously limited by data accessibility. By bringing together sensor data from across the research community, STREAM enables hypothesis testing to understand temporal and spatial water quality dynamics at unprecedented scales.
This resource contains a subset of the STREAM data encoded in the Parquet file format.
Created: May 18, 2026, 1:22 p.m.
Authors: Bogan, Abner · Tijerina-Kreuzer, Danielle · Garousi-Nejad, Irene · Castronova, Anthony M.
ABSTRACT:
Collection of materials to support the CUAHSI workshop (Essential Geospatial Data and Coding Skills for CIROH Researchers) at the 2026 CIROH Developers Conference in Salt Late City, Utah.
Created: May 18, 2026, 1:29 p.m.
Authors: Bogan, Abner · Tijerina-Kreuzer, Danielle · Castronova, Anthony M. · Garousi-Nejad, Irene
ABSTRACT:
This resource demonstrates a cloud-native workflow for accessing and analyzing Integrated Vapor Transport (IVT) data stored in HydroShare as a Zarr dataset. The notebook uses HydroShare’s S3-compatible access with xarray and Dask to stream data directly from cloud storage, avoiding the need to download the full dataset locally.
The example focuses on a 1970–2009 subset of CESM2 Large Ensemble historical simulation data near Bodega Bay, California, a region often affected by winter atmospheric rivers. The workflow subsets IVT data in space and time, identifies atmospheric river conditions using an IVT threshold of 250 kg m⁻¹ s⁻¹, assigns atmospheric river categories based on intensity and duration, and calculates an event-integrated IVT metric as a simple measure of event severity. The notebook also produces decadal summaries and maps of atmospheric river category and degree for the selected study area.
Created: May 18, 2026, 1:49 p.m.
Authors: Bogan, Abner · Tijerina-Kreuzer, Danielle · Garousi-Nejad, Irene · Castronova, Anthony M.
ABSTRACT:
The notebook is intended to support a workshop workflow where participants create or update HydroShare resources from Python, add outputs from a separate analysis notebook, and organize those outputs within a HydroShare collection. It is designed as a practical reference for using HydroShare programmatically during the workshop and for documenting shared research outputs in a shared collection in HydroShare.