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---
layout: default
title: About
group: "navigation"
---

<div class="hero-unit">
<h1>PCMDI</h1>
<p>The Program for Climate Model Diagnosis and Intercomparison: furthering the understanding of climate change through model and observational analysis and community leadership</p><br>
<div class="row , visible-xs-block visible-s-block visible-md-inline-block">
<div class="col-xs-4 col-md-4 ">
<img class="pull-left" src="{{site.baseurl}}/Data/media/images/pic.png" alt="..." paddling="1px" style="width:280px;height:228px;" >
</div>
<div class="col-xs-4 col-md-4">
<img class="pull-left" src="{{site.baseurl}}/Data/media/images/pic2.png" alt="..." paddling="1px" style="width:280px;height:228px;">
</div>
<div class="col-xs-4 col-md-4">
<img class="pull-left" src="{{site.baseurl}}/Data/media/images/about2.png" alt="..." paddling="1px" style="width:280px;height:228px;">
</div>
</div>
</div>

PCMDI was established in 1989 at the Lawrence Livermore National Laboratory ([LLNL]),
located in the [San Francisco Bay Area][SF], California. PCMDI participants include
research and computer scientists at LLNL, other research laboratories, and universities.
The Regional and Global Model Analysis ([RGMA]) Program Area of the United States
Department of Energy's (DOE) Earth and Environmental Systems Modeling ([EESM])
Program is the primary project funder. The EESM is a component of the Earth and
Environmental Systems Sciences Division ([EESSD]) which is within the Biological
and Environmental Research ([BER]) Program Office of the DOE's [Office of Science][OoS].

The PCMDI mission is to develop advanced methods and tools for diagnosis and intercomparison
to improve Global Climate (GCMs) and Earth System Models (ESMs). The need for innovative
analysis of ESM simulations is apparent as increasingly more complex models are
in development. At the same time, disagreements among these simulations relative
to observations and their predictions of climate change remain significant and
incompletely understood. Through PCMDI's efforts, ESMs will advance so that they
are capable of addressing the critical questions that policymakers and society
have about ongoing global and regional climate change.

PCMDI's mission demands that we work on scientific projects and infrastructural
tasks. Our current scientific projects focus on developing
[ESM performance metrics][metrics], identifying robust [Cloud Feedbacks][cf]
in observations and models, devising robust statistical methods for climate change
[Detection and Attribution][DandA], and understanding ESM errors through a
[model parameterization testbed][mpt]. Examples of ongoing infrastructure tasks
include: 1) the development of [software and data standards][software] for model
intercomparison project (MIP) data management, data creation, and computation;
2) the assembly/organization of observational data sets for model validation [obs4MIPs];
3) the assembly and curation of forcing data sets for ESMs [input4MIPs]; and 4)
the consistent documentation of [climate model features][cmf] across the numerous
eras of the Atmospheric Model Intercomparison Project (AMIP) and Coupled Model
Intercomparison Project (CMIP) phases. PCMDI is also incorporating the PCMDI metrics
Package ([PMP]) into the Coordinated Model Evaluation Capabilities ([CMEC]), a
platform for collective use of various diagnostics packages. CMEC aims to unify
model evaluation efforts across the EESM program. We describe details of PCMDI's
work in our [publications] and [research highlights][researchhighlights].

We are also applying our collective expertise to support modeling studies initiated
by the World Climate Research Programme ([WCRP]) and to contribution requests for
the Intergovernmental Panel on Climate Change [(IPCC) Assessment Reports][IPCC].
PCMDI has been invited to contribute to every report from the First Assessment
(FAR) in 1990 to the most recent Sixth Assessment (AR6) published in August 2021.
Notably, we lead aspects of the Coupled Model Intercomparison Project, Phase 6
([CMIP6]). PCMDI is responsible for leading the WCRP Working Group on Coupled Modelling
([WGCM]) Infrastructure Panel ([WIP]), which coordinates infrastructure support
for CMIP. This effort includes coordination with the Earth System Grid Federation
([ESGF]) project, which stores and distributes petabyte-scale data sets from multiple
MIP phases. Extensive analysis of the latest CMIP6 simulations by the international
climate community anchored much of the scientific basis for the
[IPCC's Sixth Assessment Report on Climate Change][AR6], published in 2021/22.


<div class="span12">
<h3>Sponsors</h3>
<div class="span12">
<div class="row">
<div class="span3">
<a target="_blank" href="http://energy.gov">
<h4 class="muted">U.S. Department of Energy (DOE)</h4>
<img src="{{site.baseurl}}/Data/media/images/doe.svg"
alt="U.S. Department of Energy - logo"
class="thumbnail"
style="width:154px;height:128px;border:0px;">
</a>
</div>
</div>
</div>
</div>

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###### Document version: 21 April 2022
[LLNL]: https://www.llnl.gov/
[SF]: {{site.baseurl}}/location.html
[RGMA]: https://climatemodeling.science.energy.gov/program-area/regional-global-model-analysis
[EESM]: https://climatemodeling.science.energy.gov
[EESSD]: https://science.osti.gov/ber/Research/eessd
[BER]: https://www.energy.gov/science/ber/biological-and-environmental-research
[OoS]: https://www.energy.gov/science/office-science
[metrics]: {{site.baseurl}}/research/metrics/
[cf]: {{site.baseurl}}/projects/cloud_feedbacks/index.html
[DandA]: {{site.baseurl}}/research/DandA/
[mpt]: {{site.baseurl}}/projects/capt/
[software]: {{site.baseurl}}/software/
[obs4MIPs]: https://esgf-node.llnl.gov/projects/obs4mips/
[input4MIPs]: https://esgf-node.llnl.gov/projects/input4mips/
[cmf]: {{site.baseurl}}/projects
[PMP]: https://cmec.llnl.gov/pmp.html
[CMEC]: https://cmec.llnl.gov/
[publications]: {{site.baseurl}}/publications.html
[researchhighlights]: {{site.baseurl}}/research/researchHighlights.html
[WCRP]: http://www.wcrp-climate.org/
[IPCC]: https://www.ipcc.ch/reports/
[CMIP6]: {{site.baseurl}}/CMIP6
[WGCM]: https://www.wcrp-climate.org/wgcm-overview
[WIP]: https://www.wcrp-climate.org/wgcm-cmip/wip
[ESGF]: http://esgf.llnl.gov/
[AR6]: https://www.ipcc.ch/report/ar6/wg1/#FullReport
91 changes: 1 addition & 90 deletions index.md
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Expand Up @@ -7,100 +7,11 @@ group: "navigation"
alt="PCMDI Earth System Model Evaluation Project - logo"
style="margin-top:3em;margin-bottom:2em;">

PCMDI was established in 1989 at the Lawrence Livermore National Laboratory ([LLNL]),
located in the [San Francisco Bay Area][SF], California. PCMDI participants include
research and computer scientists at LLNL, other research laboratories, and universities.
The Regional and Global Model Analysis ([RGMA]) Program Area of the United States
Department of Energy's (DOE) Earth and Environmental Systems Modeling ([EESM])
Program is the primary project funder. The EESM is a component of the Earth and
Environmental Systems Sciences Division ([EESSD]) which is within the Biological
and Environmental Research ([BER]) Program Office of the DOE's [Office of Science][OoS].

The PCMDI mission is to develop advanced methods and tools for diagnosis and intercomparison
to improve Global Climate (GCMs) and Earth System Models (ESMs). The need for innovative
analysis of ESM simulations is apparent as increasingly more complex models are
in development. At the same time, disagreements among these simulations relative
to observations and their predictions of climate change remain significant and
incompletely understood. Through PCMDI's efforts, ESMs will advance so that they
are capable of addressing the critical questions that policymakers and society
have about ongoing global and regional climate change.

PCMDI's mission demands that we work on scientific projects and infrastructural
tasks. Our current scientific projects focus on developing
[ESM performance metrics][metrics], identifying robust [Cloud Feedbacks][cf]
in observations and models, devising robust statistical methods for climate change
[Detection and Attribution][DandA], and understanding ESM errors through a
[model parameterization testbed][mpt]. Examples of ongoing infrastructure tasks
include: 1) the development of [software and data standards][software] for model
intercomparison project (MIP) data management, data creation, and computation;
2) the assembly/organization of observational data sets for model validation [obs4MIPs];
3) the assembly and curation of forcing data sets for ESMs [input4MIPs]; and 4)
the consistent documentation of [climate model features][cmf] across the numerous
eras of the Atmospheric Model Intercomparison Project (AMIP) and Coupled Model
Intercomparison Project (CMIP) phases. PCMDI is also incorporating the PCMDI metrics
Package ([PMP]) into the Coordinated Model Evaluation Capabilities ([CMEC]), a
platform for collective use of various diagnostics packages. CMEC aims to unify
model evaluation efforts across the EESM program. We describe details of PCMDI's
work in our [publications] and [research highlights][researchhighlights].

We are also applying our collective expertise to support modeling studies initiated
by the World Climate Research Programme ([WCRP]) and to contribution requests for
the Intergovernmental Panel on Climate Change [(IPCC) Assessment Reports][IPCC].
PCMDI has been invited to contribute to every report from the First Assessment
(FAR) in 1990 to the most recent Sixth Assessment (AR6) published in August 2021.
Notably, we lead aspects of the Coupled Model Intercomparison Project, Phase 6
([CMIP6]). PCMDI is responsible for leading the WCRP Working Group on Coupled Modelling
([WGCM]) Infrastructure Panel ([WIP]), which coordinates infrastructure support
for CMIP. This effort includes coordination with the Earth System Grid Federation
([ESGF]) project, which stores and distributes petabyte-scale data sets from multiple
MIP phases. Extensive analysis of the latest CMIP6 simulations by the international
climate community anchored much of the scientific basis for the
[IPCC's Sixth Assessment Report on Climate Change][AR6], published in 2021/22.

<div class="span12">
<h3>Sponsors</h3>
<div class="span12">
<div class="row">
<div class="span3">
<a target="_blank" href="http://energy.gov">
<h4 class="muted">U.S. Department of Energy (DOE)</h4>
<img src="{{site.baseurl}}/Data/media/images/doe.svg"
alt="U.S. Department of Energy - logo"
class="thumbnail"
style="width:154px;height:128px;border:0px;">
</a>
</div>
</div>
</div>
</div>


###### Document version: 25 February 2022


[LLNL]: https://www.llnl.gov/
[SF]: {{site.baseurl}}/location.html
[RGMA]: https://climatemodeling.science.energy.gov/program-area/regional-global-model-analysis
[EESM]: https://climatemodeling.science.energy.gov
[EESSD]: https://science.osti.gov/ber/Research/eessd
[BER]: https://www.energy.gov/science/ber/biological-and-environmental-research
[OoS]: https://www.energy.gov/science/office-science
[metrics]: {{site.baseurl}}/research/metrics/
[cf]: {{site.baseurl}}/projects/cloud_feedbacks/index.html
[DandA]: {{site.baseurl}}/research/DandA/
[mpt]: {{site.baseurl}}/projects/capt/
[software]: {{site.baseurl}}/software/
[obs4MIPs]: https://esgf-node.llnl.gov/projects/obs4mips/
[input4MIPs]: https://esgf-node.llnl.gov/projects/input4mips/
[cmf]: {{site.baseurl}}/projects
[PMP]: https://cmec.llnl.gov/pmp.html
[CMEC]: https://cmec.llnl.gov/
[publications]: {{site.baseurl}}/publications.html
[researchhighlights]: {{site.baseurl}}/research/researchHighlights.html
[WCRP]: http://www.wcrp-climate.org/
[IPCC]: https://www.ipcc.ch/reports/
[CMIP6]: {{site.baseurl}}/CMIP6
[WGCM]: https://www.wcrp-climate.org/wgcm-overview
[WIP]: https://www.wcrp-climate.org/wgcm-cmip/wip
[ESGF]: http://esgf.llnl.gov/
[AR6]: https://www.ipcc.ch/report/ar6/wg1/#FullReport

4 changes: 2 additions & 2 deletions research/index.md
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Expand Up @@ -27,8 +27,8 @@ The PCMDI metrics package is used to objectively compare results from climate mo

# Cloud Feedbacks

#### [Cloud Feedbacks and Climte Sensitivity Research][CloudFeedbacks]
PCMDI conducts extensive research to try and reduce uncertainty in climate sensitivity, with a focus on its primary driver, cloud feedback.
#### [Cloud Feedbacks and Climate Sensitivity Research][CloudFeedbacks]
PCMDI conducts extensive research to try and reduce uncertainty in climate sensitivity, with a focus on its primary driver, cloud feedback. This includes developing advanced diagnostics for evaluating cloud feedbacks, using cloud controlling factors to observationally constrain feedbacks, and discovering emergent constraints.

---

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