• http://vista.cira.colostate.edu/improve/
• http://views.cira.colostate.edu/fed/

Carbon Group Working Areas:

• Satellite-based greenhouse gas observations (primarily carbon dioxide and methane)
• Carbon flux inverse modeling

Key Science Goals:

• A better understanding of the present state of the earth’s carbon cycle, and the contribution of the biosphere to carbon cycling at regional scales.
• Observing changes to the earth’s carbon cycle in the era of climate change.
• Feasibility of monitoring anthropogenic emissions of greenhouse gases from satellites

Primary Projects:

• Orbiting Carbon Observatory 2 and 3 (with NASA JPL)
• GeoCarb (with NASA and the University of Oklahoma)
• ACT-America field campaign (with NASA and Penn State)
• Designing optimized space-based GHG observing systems (with NASA Goddard)

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The future state of a dynamical model depends on control parameters such as initial conditions, model errors, empirical parameters of the model, and boundary conditions. Insufficient knowledge of any of the former can lead to prediction uncertainty, which implies a probabilistic nature of the problem. The chaotic nature of nonlinear dynamical systems in weather and climate, and in geosciences in general, confirms the fundamentally probabilistic character of dynamical systems. Information about the dynamical state and its uncertainty is collected from observations. Blending the information from observations with information from dynamical models requires a coordinated effort in several areas of Physics and Mathematics: Probability Theory, Estimation Theory, Control Theory, Nonlinear Dynamics, and Chaos/Information Theory. Since we are primarily interested in geosciences applications to high-dimensional dynamical systems, the computational component of the problem is also of great importance to our robejectives. Our research is encompassing all the formerly mentioned disciplines with the goal of developing a general methodology for uncertainty estimation of dynamical systems.

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The Meteorological Satellite (MetSat) applications team at CIRA focuses on developing cutting-edge satellite products for research-to-operational use, utilizing a variety of satellite platforms covering the full spectrum of satellite observations. With a broad background in satellite remote sensing and leveraging extensive connections to NOAA, NASA, the Department of Defense, the Department of Energy, and other organizations including international collaborations, MetSat group products are designed to support operational forecasting, aviation, marine operations, fire weather, and numerical weather prediction model integration.

MetSat group members support a wide range of projects, from small, experimental programs developing new technologies, to large research-to-operations projects integrating with the National Weather Service and other organizations. The MetSat group also proposes new missions designed to leverage emerging technologies to develop new observations and observational platforms for satellite remote sensing. Data distribution and access are a partnering priority for the MetSat group, as is coordinating with education and training partners to better disseminate the research products created by the group.

ESRL Introduction:

In Boulder, Colorado, CIRA collaborates with all branches of NOAA’s Earth System Research Lab (ESRL). At ESRL, scientists study atmospheric and other processes that affect air quality, weather, and climate. ESRL researchers monitor the atmosphere, study the physical and chemical processes that comprise the Earth system, and integrate those findings into environmental information products. This work improves critical weather and climate tools for the public and private sectors.

Associated Website:

https://esrl.noaa.gov/

GSD Introduction:

NOAA’s Global Systems Division (GSD) of the Earth System Research Laboratory (ESRL) is a federal science and research laboratory under NOAA’s Office of Oceanic and Atmospheric Research. GSD provides the National Weather Service (NWS) and the nation with environmental observing, prediction, computer, visualization, and information systems. These systems deliver data, forecasts, and predictions of weather, including severe weather events, within the next few minutes to weeks away. GSD is a leader in the applied research, directed development, and technology transfer of environmental data, models, products, and services that enhance environmental understanding with the outcome of supporting commerce, protecting life and property, and promoting a scientifically literate public.

Associated Website:

https://esrl.noaa.gov/gsd/

PSD Introduction:

NOAA’s Physical Sciences Division (PSD) of the Earth System Research Laboratory (ESRL) is a federal science and research laboratory under NOAA’s Office of Oceanic and Atmospheric Research. PSD supports NOAA and the nation through physical sciences research that advances understanding and predictions of weather, water, and climate, and translates the research findings into actionable information and services. PSD carries out research on climate and weather processes, diagnostics, modeling, empirical analyses, focused field observations, and supporting technology development.

Associated Website:

https://www.esrl.noaa.gov/psd/hydromet-modeling/

https://www.esrl.noaa.gov/psd/hydromet-modeling/pdf/hb_russian_river_fact_sheet.pdf

https://www.esrl.noaa.gov/psd/hydromet-modeling/pdf/cira-magazine-tributaries.pdf

The Aviation Weather Center (AWC) is part of the National Centers for Environmental Prediction (NCEP) under the NOAA/National Weather Service (NWS). The AWC is located in Kansas City, MO and has a long history of providing operational global aviation weather forecasts and warnings for the NWS, the Federal Aviation Administration (FAA), industry, and aviators around the globe. The Aviation Weather Testbed (AWT) is co-located with the AWC and supports the transition of aviation research into operations for the NWS, the FAA, and their partners. The AWC and AWT collaborate with universities, governmental forecast centers and research laboratories, FAA organizations, International Meteorological Watch Offices, and other NOAA and NWS organizations. The AWC maintains 24×7 global forecasting and warning operations, and the AWT supports aviation meteorology hazards training, applied research, and transitioning research-to-operations. The AWC and AWT are also actively engaged in supporting the FAA’s NextGen weather initiative in building a 4-Dimensional Weather Data Cube (4-D Cube) that will improve access and accuracy of weather information to support improvements to aviation services in the NextGen era. Activities within the AWT and AWC will play a significant role in the development, testing, and evaluation of NextGen development. CIRA is a collaborating partner with the AWC on a number of research projects and activities. CIRA professionals assist the AWC/AWT in supporting, developing, testing, and transitioning aviation weather research into NWS operations.

The Aviation Weather Center (AWC) Aviation Support Branch (ASB) is responsible for providing support to the research and operations processes, maintaining server and networking infrastructure, and supporting the www.aviationweather.gov website.

The primary goal of the ASB is to maintain the internal network, servers and workstations at the AWC to ensure continuity of operations. The 24×7 support is critical to AWC forecast and web operations. The ASB collaborates with the other National Center for Environmental Prediction (NCEP) centers and the National Weather Service (NWS) to provide data and research to operations support. The branch supports the research operations at the AWC, headed by a team of Technique Development Meteorologists (TDMs). This includes support for the Testbed (AWT) as well as support for AWRP. The AWRP products include Current and Forecast Icing Products (CIP/FIP), Graphical Turbulence Guidance (GTG), National Ceiling and Visibility Analysis (NCVA), and the National Convective Weather Diagnostic/Forecast (NCWD/F). The ASB also supports the AWC website which includes Aviation Digital Display Service (ADDS), World Area Forecast System (WAFS) Internet File service (WIFS) and the International Flight Folder Program (IFFDP).

Aviation Weather Website

Aviation Test bed Website

The primary goal in the research partnership between CIRA and the National Oceanic and Atmospheric Administration (NOAA) National Weather Service (NWS) Meteorological Development Laboratory (MDL) in Silver Spring, MD, is to keep abreast of advanced technology and apply it to CIRA and MDL in support of decision support tools and technologies. The partnership is focused upon providing technical expertise to MDL, providing a framework to foster innovation, science sharing, and development of new tools and services within the NWS with the goal of streamlining the transition of research to operations. The MDL develops and implements techniques that generate products and services that enhance the value of NWS forecast products. Prototyping of promising techniques is done to identify those best for implementation. Once developed and vigorously tested, these techniques are implemented in software on NWS operational platforms.

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The Office of Marine and Aviation Operations (OMAO) Learning Office oversees employee learning, development, and training programs to support mission readiness. The focus of the Learning Office is to ensure standardized processes, application of best practices, transparency in training programs, equitable opportunity for employees, and compliance with NOAA, Department of Commerce (DOC) and Office of Personnel Management (OPM) guidance across OMAO. The OMAO Chief Learning Officer (CLO)/Learning Office is located at National Weather Service Training Center (NWSTC) in Kansas City, MO as part of a NOAA agreement to share resources and mutually support common training. The OMAO Learning Office is responsible for the development and implementation of OMAO learning policy; and the management and maintenance of OMAO’s LMS and training portal (a Google Site), and providing leadership training to staff. The agreement to share resources includes use of common techniques, hardware and software systems by both line offices, and collaboration on joint use projects.

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The Regional and Mesoscale Meteorology Branch (RAMMB) of NOAA/NESDIS/Satellite Applications and Research (StAR) conducts research on the use of satellite data to improve analysis, forecasts and warnings for regional and mesoscale meteorological events. RAMMB is co-located with the Cooperative Institute for Research in the Atmosphere (CIRA) at Colorado State University in Fort Collins CO.

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