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81 docs tagged with "CIROH"

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AWS Best Practices

As the main account administrator for CIROH subaccount, here are some best practices to follow within your subaccount:

CIROH JupyterHub

2i2c JupyterHub is a cloud-based JupyterHub environment specifically designed for hydrological researchers. It is powered by 2i2c JupyterHub, a cloud-based JupyterHub environment specifically on Google Cloud

Cloud Services Blogs

Want to keep up with the latest updates in the cloud? If so, consider checking out the block pages for CIROH's cloud services partners.

CSES

Community Streamflow Evaluation System

Data and Code Sharing

The Cooperative Institute for Research to Operations in Hydrology (CIROH) is committed to an open data policy that will maximize the impact and broad use of data and research products produced by CIROH projects and will also ensure that Federal data sharing requirements are met. This policy document is intended to assist CIROH investigators in creating and sharing high-quality data and research products. We begin with guiding principles, after which the specific policy and recommendations are stated. This document also provides guidance and instructions that may be useful to CIROH investigators in meeting the terms of this policy. Finally, we also include an appendix with further details about the specific data sharing requirements of CIROH’s partner agencies. We consider this policy to be a living document that will be revised as the needs of CIROH investigators and CIROH partner agencies evolve.

Documentation and Tutorial

2i2c JupyterHub is a cloud-based JupyterHub environment specifically designed for hydrological researchers. It is powered by 2i2c JupyterHub, a cloud-based JupyterHub environment specifically on Google Cloud

Infrastructure Access

CIROH provides access to both public cloud and on-premises infrastructure to support the research projects of its members and partners.

NextGen Framework

A comprehensive guide for integrating models and modules into the NextGen framework

NWM BigQuery API

REST API backed by National Water Model data, developed on Google Cloud Platform

NWM-ML

National Water Model - Machine Learning

nwmurl

nwmurl is a Python library developed by CIROH 2023. It provides utility functions specifically designed to subset and generate National Water Model (NWM) data URLs. This library simplifies the process of accessing NWM data for various purposes such as analysis, modeling, and visualization.

Persistent Conda Environment

2i2c JupyterHub is a cloud-based JupyterHub environment specifically designed for hydrological researchers. It is powered by 2i2c JupyterHub, a cloud-based JupyterHub environment specifically on Google Cloud

Policies and Best Practices

In the following sections, we provide some practical guidance for CIROH researchers designed to help them meet the terms and conditions of CIROH’s Data, Code, and Infrastructure Policy, as discussed above, for different types of research products. Each section is focused on providing guidlines and recommendations for data, code, and infrastructure use.

Prevent Server Timeout

Currently, user servers on JupyterHub stop after about an hour of inactivity. While this helps save costs, it can be problematic for long-running jobs if there is no active interaction with the notebook.

Products

At CIROH, our team of researchers, hydrologists, and engineers is committed to advancing our understanding of hydrologic processes, improving operational hydrologic forecasting techniques and workflows, collaborating on community water modeling, converting forecasts into practical solutions, and utilizing water predictions to help guide decision-making processes.

Public Cloud

In tandem with the power of the public cloud, our team of researchers, hydrologists, and engineers at CIROH is committed to advancing our understanding of hydrologic processes, improving operational hydrologic forecasting techniques and workflows, collaborating on community water modeling, converting forecasts into practical solutions, and utilizing water predictions to help guide decision-making processes.

Push and Pull to GitHub

2i2c JupyterHub is a cloud-based JupyterHub environment specifically designed for hydrological researchers. It is powered by 2i2c JupyterHub, a cloud-based JupyterHub environment specifically on Google Cloud

Request custom images

2i2c JupyterHub is a cloud-based JupyterHub environment specifically designed for hydrological researchers. It is powered by 2i2c JupyterHub, a cloud-based JupyterHub environment specifically on Google Cloud

Running Jobs

Proficient users acquainted with the Linux command line interface have the option to utilize standard job submission utilities for the purpose of managing and executing tasks on the computational nodes within the Pantarhei system.

SWEML

Snow Water Equivalent Machine Learning

TEEHR

Tools for Exploratory Evaluation in Hydrologic Research

Tethys-CSES

Community Streamflow Evaluation System (CSES) - Tethys Web Application