NatLabRockies · shirubana · Mar 6, 2026 · Mar 6, 2026 · Mar 6, 2026 · Mar 6, 2026
diff --git a/CITATION.cff b/CITATION.cff
@@ -1,34 +1,34 @@
 cff-version: 1.2.0
 message: "If you use this software, please cite both the software and the paper from preferred-citation."
 title: "PVDeg: Photovoltaic Degradation Tools"
-abstract: "PVDeg is an open-source Python package for modeling photovoltaic (PV) degradation, developed at the National Renewable Energy Laboratory (NREL) and supported by the Durable Module Materials (DuraMAT) consortium. It provides modular functions, materials databases, and calculation workflows for simulating degradation mechanisms (e.g., LeTID, hydrolysis, UV exposure) using weather data from the National Solar Radiation Database (NSRDB) and the Photovoltaic Geographical Information System (PVGIS). By integrating Monte Carlo uncertainty propagation and geospatial processing, PVDeg enables field-relevant predictions and uncertainty quantification of module reliability and lifetime."
+abstract: "PVDeg is an open-source Python package for modeling photovoltaic (PV) degradation, developed at the National Laboratory of the Rockies (NLR) and supported by the Durable Module Materials (DuraMAT) consortium. It provides modular functions, materials databases, and calculation workflows for simulating degradation mechanisms (e.g., LeTID, hydrolysis, UV exposure) using weather data from the National Solar Radiation Database (NSRDB) and the Photovoltaic Geographical Information System (PVGIS). By integrating Monte Carlo uncertainty propagation and geospatial processing, PVDeg enables field-relevant predictions and uncertainty quantification of module reliability and lifetime."
 authors:
   - family-names: Springer
     given-names: Martin
-    affiliation: National Renewable Energy Laboratory
+    affiliation: National Laboratory of the Rockies
     orcid: "https://orcid.org/0000-0001-6803-108X"
   - family-names: Brown
     given-names: Matthew
-    affiliation: National Renewable Energy Laboratory
+    affiliation: National Laboratory of the Rockies
     orcid: "https://orcid.org/0000-0002-0988-3431"
   - family-names: Ovaitt
     given-names: Silvana
-    affiliation: National Renewable Energy Laboratory
+    affiliation: National Laboratory of the Rockies
     orcid: "https://orcid.org/0000-0003-0180-728X"
   - family-names: Ford
     given-names: Tobin
-    affiliation: National Renewable Energy Laboratory
+    affiliation: National Laboratory of the Rockies
     orcid: "https://orcid.org/0009-0000-7428-5625"
   - family-names: Daxini
     given-names: Rajiv
-    affiliation: National Renewable Energy Laboratory
+    affiliation: National Laboratory of the Rockies
     orcid: "https://orcid.org/0000-0003-1993-9408"
   - family-names: Holsapple
     given-names: Derek
-    affiliation: National Renewable Energy Laboratory
+    affiliation: National Laboratory of the Rockies
   - family-names: Kempe
     given-names: Michael
-    affiliation: National Renewable Energy Laboratory
+    affiliation: National Laboratory of the Rockies
     orcid: "https://orcid.org/0000-0003-3312-0482"
 keywords:
   - photovoltaic
@@ -43,7 +43,7 @@ keywords:
   - PVGIS
   - DuraMAT
 license: BSD-3-Clause
-repository-code: "https://github.com/NREL/PVDegradationTools"
+repository-code: "https://github.com/NatLabRockies/PVDegradationTools"
 url: "https://pvdegradationtools.readthedocs.io"
 type: software
 version: 0.7.1

diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
@@ -112,8 +112,8 @@ git push origin feature/my-feature
 
 - 📖 [Full Contributing Guide](https://pvdegradationtools.readthedocs.io/en/latest/user_guide/contributing.html) - Comprehensive documentation
 - 📦 [Installation Guide](https://pvdegradationtools.readthedocs.io/en/latest/user_guide/installation.html) - Detailed setup instructions
-- 🐛 [GitHub Issues](https://github.com/NREL/PVDegradationTools/issues) - Report bugs or request features
-- 💬 [GitHub Discussions](https://github.com/NREL/PVDegradationTools/discussions) - Ask questions
+- 🐛 [GitHub Issues](https://github.com/NatLabRockies/PVDegradationTools/issues) - Report bugs or request features
+- 💬 [GitHub Discussions](https://github.com/NatLabRockies/PVDegradationTools/discussions) - Ask questions
 
 ## Contributor License Agreement
 

diff --git a/docs/source/index.rst b/docs/source/index.rst
@@ -12,9 +12,9 @@
 Welcome to PVDeg!
 ==============================================================
 
-PVDeg is an open-source Python package for modeling photovoltaic (PV) degradation, developed at the National Renewable Energy Laboratory (NREL) and supported by the Durable Module Materials (DuraMAT) consortium. It provides modular functions, materials databases, and calculation workflows for simulating degradation mechanisms (e.g., LeTID, hydrolysis, UV exposure) using weather data from the National Solar Radiation Database (NSRDB) and the Photovoltaic Geographical Information System (PVGIS). By integrating Monte Carlo uncertainty propagation and geospatial processing, PVDeg enables field-relevant predictions and uncertainty quantification of module reliability and lifetime.
+PVDeg is an open-source Python package for modeling photovoltaic (PV) degradation, developed at the National Laboratory of the Rockies (NLR) and supported by the Durable Module Materials (DuraMAT) consortium. It provides modular functions, materials databases, and calculation workflows for simulating degradation mechanisms (e.g., LeTID, hydrolysis, UV exposure) using weather data from the National Solar Radiation Database (NSRDB) and the Photovoltaic Geographical Information System (PVGIS). By integrating Monte Carlo uncertainty propagation and geospatial processing, PVDeg enables field-relevant predictions and uncertainty quantification of module reliability and lifetime.
 
-The source code for PVDeg is hosted on `github <https://github.com/NREL/pvdeg>`_. Please see the :ref:`installation` page for installation help.
+The source code for PVDeg is hosted on `github <https://github.com/NatLabRockies/PVDegradationTools>`_. Please see the :ref:`installation` page for installation help.
 
 See :ref:`tutorials` to learn how to use and experiment with various functionalities
 
@@ -52,7 +52,7 @@ If you use PVDeg in a published work, please cite both the software and the pape
 
 **Software Citation:**
 
-Click the "Cite this repository" button on the `GitHub repository <https://github.com/NREL/PVDegradationTools>`_, or visit `Zenodo <https://zenodo.org/records/8088578/latest>`_ for the DOI corresponding to your specific version. On the Zenodo page, use the "Cite as" section in the right sidebar to copy the citation in your preferred format (BibTeX, APA, etc.).
+Click the "Cite this repository" button on the `GitHub repository <https://github.com/NatLabRockies/PVDegradationTools>`_, or visit `Zenodo <https://zenodo.org/records/8088578/latest>`_ for the DOI corresponding to your specific version. On the Zenodo page, use the "Cite as" section in the right sidebar to copy the citation in your preferred format (BibTeX, APA, etc.).
 
 **JOSS Paper (In Review):**
 

diff --git a/docs/source/tutorials/index.rst b/docs/source/tutorials/index.rst
@@ -9,7 +9,7 @@ PVDeg provides comprehensive tutorials organized by topic. Choose your preferred
 Jupyter Book (Recommended)
 ---------------------------
 
-Interactive tutorials with live execution: `PVDeg Jupyter Book <https://nrel.github.io/PVDegradationTools/intro.html>`_
+Interactive tutorials with live execution: `PVDeg Jupyter Book <https://NatLabRockies.github.io/PVDegradationTools/intro.html>`_
 
 - Click the 🚀 rocket icon to launch notebooks in `Google Colab <https://colab.research.google.com/>`_
 - **Development Preview:** See latest changes at `dev-preview <https://natlabrockies.github.io/PVDegradationTools/dev-preview/intro.html>`_
@@ -20,7 +20,7 @@ Binder
 Run tutorials in your browser without installation:
 
 .. image:: https://mybinder.org/badge_logo.svg
-    :target: https://mybinder.org/v2/gh/NREL/PVDegradationTools/main
+    :target: https://mybinder.org/v2/gh/NatLabRockies/PVDegradationTools/main
     :alt: Binder
 
 Local Installation
@@ -32,7 +32,7 @@ Local Installation
 
    .. code-block:: bash
 
-      git clone https://github.com/NREL/PVDegradationTools.git
+      git clone https://github.com/NatLabRockies/PVDegradationTools.git
       cd PVDegradationTools
 
 3. **Start Jupyter:**
@@ -51,10 +51,10 @@ Local Installation
    - ``10_workshop_demos/`` - Workshop demonstrations
    - ``tools/`` - Standalone analysis tools
 
-NREL HPC (Kestrel)
+NLR HPC (Kestrel)
 ------------------
 
-Running notebooks on Kestrel is documented on the `NREL HPC Documentation <https://natlabrockies.github.io/HPC/Documentation/Development/Jupyter/>`_.
+Running notebooks on Kestrel is documented on the `NLR HPC Documentation <https://natlabrockies.github.io/HPC/Documentation/Development/Jupyter/>`_.
 
 **Important:** Register a custom iPykernel before running notebooks on Kestrel:
 

diff --git a/docs/source/user_guide/NSRDB_API_Key.rst b/docs/source/user_guide/NSRDB_API_Key.rst
@@ -5,4 +5,4 @@ NSRDB API Key
 
 The National Solar Radiation Database (NSRDB) is a serially complete collection of satellite-derived measurements of solar radiation—global horizontal, direct normal, and diffuse horizontal irradiance—and meteorological data. These data have been collected at a sufficient number of locations and temporal and spatial scales to accurately represent regional solar radiation climates. The data are publicly available at no cost to the user. These API provide access to downloading the data.
 
-Obtain your API key at https://developer.nrel.gov/signup/.
+Obtain your API key at https://developer.nlr.gov/signup/.
diff --git a/docs/source/user_guide/contributing.rst b/docs/source/user_guide/contributing.rst
@@ -7,7 +7,7 @@ We welcome contributions to PVDeg! Whether you're fixing bugs, adding features,
 improving documentation, or contributing to our material property databases, your
 help is valuable to the PV community.
 
-For a quick overview, see `CONTRIBUTING.md <https://github.com/NREL/PVDegradationTools/blob/main/CONTRIBUTING.md>`_ on GitHub.
+For a quick overview, see `CONTRIBUTING.md <https://github.com/NatLabRockies/PVDegradationTools/blob/main/CONTRIBUTING.md>`_ on GitHub.
 
 This guide provides comprehensive details for contributors.
 
@@ -17,13 +17,13 @@ Easy Ways to Contribute
 
 Here are ways to contribute, even if you're new to PVDeg, git, or Python:
 
-* **Report bugs or request features** via `GitHub issues <https://github.com/NREL/PVDegradationTools/issues>`_
+* **Report bugs or request features** via `GitHub issues <https://github.com/NatLabRockies/PVDegradationTools/issues>`_
 * **Join discussions** on existing issues and pull requests
 * **Improve documentation** - fix typos, clarify explanations, add examples
 * **Enhance unit tests** - increase coverage or improve test quality
 * **Create or improve tutorials** - demonstrate PVDeg in your area of expertise
 * **Contribute to material databases** - add validated degradation parameters and properties
-* **Share your work** - add your project to our `wiki <https://github.com/NREL/PVDegradationTools/wiki>`_
+* **Share your work** - add your project to our `wiki <https://github.com/NatLabRockies/PVDegradationTools/wiki>`_
 * **Spread the word** - tell colleagues about PVDeg
 
 Getting Started
@@ -75,7 +75,7 @@ Development Environment Setup
 
        python -m ipykernel install --user --name=pvdeg-dev
 
-   This is especially important when working on HPC systems like NREL's Kestrel.
+   This is especially important when working on HPC systems like NLR's Kestrel.
 
 Pre-commit Hooks
 ~~~~~~~~~~~~~~~~
@@ -490,7 +490,7 @@ Pull Request Process
    * Provide a clear description of changes
    * Reference related issues (e.g., "Closes #123")
    * Ensure all CI checks pass (tests, pre-commit hooks)
-   * Request review from maintainers or tag ``@NREL/pvdeg-maintainers``
+   * Request review from maintainers or tag ``@NLR/pvdeg-maintainers``
 
 **Best practices**:
 
@@ -537,7 +537,7 @@ Contributor License Agreement
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 First-time contributors must sign the `Contributor License Agreement (CLA)
-<https://github.com/NREL/PVDegradationTools/blob/main/cla-1.0.md>`_.
+<https://github.com/NatLabRockies/PVDegradationTools/blob/main/cla-1.0.md>`_.
 This protects both you and the project.
 
 When you submit your first pull request, a bot will comment with instructions
@@ -573,7 +573,7 @@ Getting Help
 
 If you have questions or need help:
 
-* **Ask on GitHub Discussions**: `<https://github.com/NREL/PVDegradationTools/discussions>`_
+* **Ask on GitHub Discussions**: `<https://github.com/NatLabRockies/PVDegradationTools/discussions>`_
 * **Open an issue**: For bugs or feature requests
 * **Check the documentation**: `<https://pvdegradationtools.readthedocs.io/>`_
 * **Review existing PRs**: See how others approached similar problems

diff --git a/docs/source/user_guide/installation.rst b/docs/source/user_guide/installation.rst
@@ -5,7 +5,7 @@ Installation
 
 PVDeg releases may be installed using pip. Compatible with Python 3.10 and above.
 
-For a quick start, see the **Installation** section in our `README.md <https://github.com/NREL/PVDegradationTools/blob/main/README.md#installation>`_.
+For a quick start, see the **Installation** section in our `README.md <https://github.com/NatLabRockies/PVDegradationTools/blob/main/README.md#installation>`_.
 
 Base Install
 ------------
@@ -20,7 +20,7 @@ This installs PVDeg with all required dependencies for basic degradation modelin
 
 * Core scientific computing libraries (numpy, pandas, scipy)
 * PV modeling with pvlib
-* Weather data access (NREL-rex)
+* Weather data access (NLR-rex)
 * Geospatial tools (cartopy, geopy)
 * Jupyter notebook support (jupyterlab, notebook)
 * Pre-commit hooks for development
@@ -103,7 +103,7 @@ While PVDeg is installed via pip, you can use conda to manage your Python enviro
        python -m ipykernel install --user --name=pvdeg
 
    This allows you to select the ``pvdeg`` kernel when running Jupyter notebooks,
-   especially important on HPC systems like NREL's Kestrel.
+   especially important on HPC systems like NLR's Kestrel.
 
 Developer Installation
 ----------------------

diff --git a/docs/source/user_guide/meteorological-data.rst b/docs/source/user_guide/meteorological-data.rst
@@ -12,8 +12,8 @@ The methodology for these datasets varies but both are gridded geospatial datase
 .. _NSRDB:
 NSRDB 
 ------
-The NSRDB is produced by NREL and combines multiple datasets but we are most concerned with `Physical Solar Model 3 (PSM3) <https://developer.nrel.gov/docs/solar/nsrdb/psm3-2-2-download/>`_. This data was generated using satellite data from multiple channels to derive cloud 
-and aerosol properties, then fed into a radiative transfer model. Learn more about the NSRDB `here <https://nsrdb.nrel.gov/about/what-is-the-nsrdb#:~:text=The%20PSM%20is%20a%20two-step%20physical%20modeling%20process%2C,%28Xie%20et%20al.%2C%202016%29%2C%20in%20the%20subsequent%20step.>`_. 
+The NSRDB is produced by NLR and combines multiple datasets but we are most concerned with `Physical Solar Model 3 (PSM3) <https://developer.nlr.gov/docs/solar/nsrdb/psm3-2-2-download/>`_. This data was generated using satellite data from multiple channels to derive cloud 
+and aerosol properties, then fed into a radiative transfer model. Learn more about the NSRDB `here <https://nsrdb.nlr.gov/about/what-is-the-nsrdb#:~:text=The%20PSM%20is%20a%20two-step%20physical%20modeling%20process%2C,%28Xie%20et%20al.%2C%202016%29%2C%20in%20the%20subsequent%20step.>`_. 
 
 The NSRDB is free to use but requires an api-key and email. See :ref:`NSRDB_API_Key` for more information. 
 For our purposes, the api is limited to 1000 requests per day, although you can request a batch download via email with a singificantly higher rate limit (not recommended for PVDeg).
@@ -23,14 +23,14 @@ Flowchart showing the dataflow from satellite to solar radiation measurement.
 .. image::  meteorological-data-details/data_flow_chart.png
     :alt: dataflow from satellite to solar radiation measurement, image missing
 
-`<https://nsrdb.nrel.gov/about/what-is-the-nsrdb>`_
+`<https://nsrdb.nlr.gov/about/what-is-the-nsrdb>`_
 
 NSRDB data are seperated by satellite/model source. Each dataset is shown below, much of the PVDeg project uses the *Americas* data.
 
 .. image::  meteorological-data-details/nsrdb_global_coverage.jpg
     :alt: NSRDB data sources, image missing
 
-`<https://nsrdb.nrel.gov/about/what-is-the-nsrdb>`_
+`<https://nsrdb.nlr.gov/about/what-is-the-nsrdb>`_
 
 
 .. _PVGIS:

diff --git a/docs/source/user_guide/package_overview.rst b/docs/source/user_guide/package_overview.rst
@@ -8,12 +8,12 @@ photovoltaics and accelerated testing.
 It currently offers functions to calculate test-chamber irradiance settings,
 the humidity of PV materials, the spectral degradation in backsheets, and more.
 Functionality has been simplified so you can use .psm3 weather files retrieved
-from NREL's `National Solar Radiation Database (NSRDB) <https://nsrdb.nrel.gov/>`_.
+from NREL's `National Solar Radiation Database (NSRDB) <https://nsrdb.nlr.gov/>`_.
 
 In some cases, such as calculating the relative backsheet spectral degradation,
 you will need spectraly resolved irradiance. This can be field data or data
 produced via simulation (for example: results from `bifacial_radiance
-<https://github.com/NREL/bifacial_radiance>`_)
+<https://github.com/NatLabRockies/bifacial_radiance>`_)
 
 **Package Functions:**
 

diff --git a/docs/source/user_guide/pysam.rst b/docs/source/user_guide/pysam.rst
@@ -3,7 +3,7 @@
 PySAM Implementation
 ====================
 
-PVDeg provides a convient wrapper for ``NREL-PySAM`` which is a Python wrapper for `NREL's System Advisor Model (SAM) <https://sam.nrel.gov/>`_. PySAM has a steep learning curve so we seek to provide a simple implementation that allows users to run geospatial analyses with SAM.
+PVDeg provides a convient wrapper for ``NREL-PySAM`` which is a Python wrapper for `NLR's System Advisor Model (SAM) <https://sam.nlr.gov/>`_. PySAM has a steep learning curve so we seek to provide a simple implementation that allows users to run geospatial analyses with SAM.
 
 This work was produced to support `Innovative Solar Practices Integrated with Rural Economies and Ecosystems (InSPIRE) <https://openei.org/wiki/InSPIRE>`_.  
 

diff --git a/docs/source/whatsnew/releases/v0.7.0.rst b/docs/source/whatsnew/releases/v0.7.0.rst
@@ -43,7 +43,7 @@ Enhancements
       ``03_monte_carlo/02_standoff.ipynb`` (NYC).
     - Add jupytext configuration and Python script versions for all notebooks with
       pre-commit hook synchronization for version control.
-    - Update Eagle HPC references to Kestrel (NREL's current HPC system).
+    - Update Eagle HPC references to Kestrel (NLR's current HPC system).
     - Update all configuration files (``_toc.yml``, ``_config.yml``, ``myst.yml``),
       GitHub Actions workflows (``nbval.yaml``, ``testbook.yaml``,
       ``deploy-books.yml``), and CI/CD pipelines for new structure.

diff --git a/docs/source/whatsnew/releases/v0.7.2.rst b/docs/source/whatsnew/releases/v0.7.2.rst
@@ -0,0 +1,21 @@
+v0.7.2 (2026-03-10)
+===================
+
+
+Documentation & Bug Fixes
+-------------------------
+- Comprehensive update of "NREL" and "National Renewable Laboratory" 
+  with the new name National Laboratory of the Rockies (NatLabRockies or NLR) on
+  all files, including repositories, dependencies (i.e. NLR-rex), HPC settings, 
+  tutorials, emails, and function names.
+- Please note NREL-pySAM has not migrated name and will not do so until ~April 2026. 
+  updated as required. This includes an update to the CLA and its checksum (:pull:`XXX`).
+
+
+
+Contributors
+------------
+- Silvana Ovaitt (:ghuser:`shirubana`)
+- Rajiv Daxini (:ghuser:`rdaxini`)
+- Martin Springer (:ghuser:`martin-springer`)
+
diff --git a/pvdeg/geospatialscenario.py b/pvdeg/geospatialscenario.py
@@ -181,7 +181,7 @@ def addLocation(
         weather_arg = {
             "satellite": satellite,
             "names": year,
-            "NREL_HPC": True,
+            "NLR_HPC": True,
             "attributes": nsrdb_attributes,
         }
 
@@ -794,7 +794,7 @@ def _get_geospatial_data(year: int):
         weather_arg = {
             "satellite": "Americas",
             "names": year,
-            "NREL_HPC": True,
+            "NLR_HPC": True,
             # 'attributes': ['air_temperature', 'wind_speed', 'dhi', 'ghi', 'dni',
             # 'relative_humidity']}
             "attributes": [],  # does having do atributes break anything, should we just

diff --git a/pvdeg/montecarlo.py b/pvdeg/montecarlo.py
@@ -271,7 +271,7 @@ def generateCorrelatedSamples(
 
 # monte carlo function
 # model after -
-# https://github.com/NREL/PVDegradationTools/blob/main/pvdeg_tutorials/tutorials/LETID%20-%20Outdoor%20Geospatial%20Demo.ipynb  # noqa
+# https://github.com/NatLabRockies/PVDegradationTools/blob/main/pvdeg_tutorials/tutorials/LETID%20-%20Outdoor%20Geospatial%20Demo.ipynb  # noqa
 
 
 def simulate(
Original file line number	Diff line number	Diff line change
Expand Up		@@ -5,4 +5,4 @@ NSRDB API Key

		The National Solar Radiation Database (NSRDB) is a serially complete collection of satellite-derived measurements of solar radiation—global horizontal, direct normal, and diffuse horizontal irradiance—and meteorological data. These data have been collected at a sufficient number of locations and temporal and spatial scales to accurately represent regional solar radiation climates. The data are publicly available at no cost to the user. These API provide access to downloading the data.

		Obtain your API key at https://developer.nrel.gov/signup/.
		Obtain your API key at https://developer.nlr.gov/signup/.