Accelerate Improvements in National Hurricane Center Forecast Techniques – Statistical Techniques and Advanced Model Diagnostic Tools

An Open Framework for Process-Oriented Diagnostics

CIRA Support for Tropical Cyclone Model Diagnostics and Product Development (HFIP)

Collaborative Research: Assessing Oceanic Predictability Sources for MJO Propagation

Enabling Cloud Condensate Cycling for All-Sky Radiance Assimilation in HWRF

Enhancing NIDIS drought monitoring and early warning in the Intermountain

Forecasting North Pacific Blocking and Atmospheric River Probabilities: Sensitivity to Model Physics and the MJO

Identifying Drought‐related Triggers and Impacts on Decision Calendars for the Ski Industry

Identifying Varying Patterns of Combined Change over the 21st Century with Neural Networks

MJO and QBO Contributions to U.S. Precipitation Skill at S2S Leads

Near-field Characterization of Biomass Burning Plumes

Diagnostics of Poor-skill events in FV3GFS and FV3-GEFS, Hurricane Supplemental, 4b-1-1b

Implementation and Testing of Lognormal Humidity and Cloudrelated Control Variables for the NCEP GSI Hybrid EnVar Assimilation Scheme

Skillfully Predicting Atmospheric Rivers and Their Impacts in Weeks 2-5 Based on the State of the MJO and QBO

Accounting for Non-Gaussianity in the Background Error Distributions Associated with Cloud-related Variables (Microwave-radiances and Hydrometeors) in Hybrid Data Assimilation for Convective-scale Prediction

CIRA Research Collaborations with the National Weather Service Meteorological Development Lab

HAZARD SERVICES: National Center Evolve

HURRICANE SUPPLEMENTAL 1C Proposal (3A-4)

Environmental Applications Research – Data Distribution and Visualization for Global Models

Environmental Applications Research – Global and Regional Model Development

Environmental Applications Research – Rapid Update Cycle (RUC) Rapid Refresh (RAP) and High-Resolution Rapid Refresh (HRRR) Models Project, Data Distribution and Visualization

Environmental Applications Research – Science On a Sphere® (SOS) Development

Environmental Applications Research – TerraViz (branded as SOS Explorer)

Environmental Applications Research – WRF-Chem Model Development

Environmental Applications Research – AWIPS I & AWIPS II Workstation Development

Environmental Applications Research–Data Assimilation: Improving Short-range Forecasts of Severe Weather and Aviation Weather from the Assimilation of Satellite Data

Forecast Impact and Quality Assessment

Meteorological Assimilation Data Ingest System (MADIS)

Research Collaborations with Information and Technology Services

Weather Archive and Visualization Environment (WAVE)

Aerosol Size Distribution and Composition Evolution during FIREX Activities: Closure Analyses and Climate Impacts

Implementation and testing of stochastic perturbations within a stand-alone regional (SAR) FV3 ensemble using the Common Community Physics Package (CCPP)

Improved Understanding of Air-sea Interaction Processes and Biases in the Tropical Western Pacific using Observation Sensitivity Experiments and Global Forecast Models

Joint GOES-R, JPSS, and NASA Summer Workshop on the Theory and Use of Satellite Data

Modeling the Complex and Dynamic Physico-chemical Evolution of Primary and Secondary Organic Aerosol from Wildfire Smoke

Use of the Stochastic-dynamic Approach in a Single Dynamic-Core Storm-Scale Ensemble for Improved Spread and Reliability of QPF and Surface Variables

Using dynamically-based probabilistic forecast systems to improve the National Hurricane Center wind speed probability products

A GOES-R Proving Ground for National Weather Service Forecaster Readiness and Training

ABI (CLP) CIRA Support for Research and Development for GOES-R Risk Reduction for Mesoscale Weather Analysis and Forecasting

ADEB Support CIRA Support for Research and Development for GOES-R Risk Reduction for Mesoscale Weather Analysis and Forecasting

CIRA Support for Assessment of New Calibrated NNP and NOAA-20 ATMS Window and Water Vapor Channel Radiance and JPSS-2

CIRA Support for Research and Development for GOES-R Risk Reduction for Mesoscale Weather Analysis and Forecasting

CIRA Support for Research and Development for GOES-R Risk Reduction for Mesoscale Weather Analysis and Forecasting and Training

CIRA Support for the Generation of Multispectral Imagery Products from MetopSG METImage

CIRA Support for the Hurricane Intensity and Structure Algorithm (HISA) Migration to STAR Enterprise System

CIRA Support for Upgrade to the Multi-Platform Satellite Tropical Cyclone Surface Wind Analysis Product

CIRA support to ATMS Precipitable Water Algorithms and Products (MIRS)

CIRA Support to Connecting GOES-R with Rapid-Update Numerical Forecast Models for Advanced Short-Term Prediction and Data Fusion Capabilities

CIRA Support to Connecting GOES-R with Rapid-Update Numerical Forecast Models for Advanced Short-Term Prediction and Data Fusion Capabilities Connecting GOES-R High Resolution Temporal Information with Rapid Updating Models

CIRA support to Metop-C Readiness for Blended Hydrometeorological Products

CIRA Support to NESDIS Environmental Applications Team (NEAT)

CIRA Support to NESDIS Environmental Applications Team (NEAT)

CIRA Support to NESDIS Environmental Applications Team (NEAT)

CIRA Support to NESDIS Environmental Applications Team (NEAT)

CIRA Support to NESDIS Environmental Applications Team (NEAT)

CIRA Support to NESDIS Environmental Applications Team (NEAT)

CIRA Support to NESDIS Environmental Applications Team (NEAT)

CIRA Support to NESDIS Environmental Applications Team (NEAT) – Son

CIRA Support to the JPSS STAR Science Program: S-NPP/NOAA-20/JPSS VIIRS EDR Imagery Algorithm and Validation Activities and S-NPP/NOAA-20/JPSS VIIRS Cloud Validation

CIRA Support to the Time-Resolved Observations of Precipitation structure and storm intensity with a Constellation of Smallsats (TROPICS)

Comparison of Model versus Observationally-Driven Water Vapor Profiles for Forecasting Heavy Precipitation Events

Creating Synthetic Microwave Imagery Using Goes-R L1b and L2+ Baseline Products for Improved Hurricane Monitoring and Rainfall Estimation Using Machine Learning

DA of GLM in HWRF/GSI CIRA Support for Research and Development for GOES‐R Risk Reduction for Mesoscale Weather Analysis and Forecasting

DayNightImager – CIRA Science Support to the Day-Night Imager Sensor

Developing an Environmental Awareness Repertoire of ABI Imagery (‘DEAR-ABII’) to Advise the Operational Weather Forecaster

GOES History CIRA Support for Research and Development for GOES-R Risk Reduction for Mesoscale Weather Analysis and Forecasting

GOES-R ABI Channel Differencing Used to Reveal Cloud-free Zones of ‘Precursors of Convective Initiation’.

GOES-R FDTE Sat Training Liaison – CIRA support to GOES-R Training: The Satellite Hydro-Meteorology (SHyMet) Education and Outreach Program & GOES-R commitment to the WMO CGMS Intl VLab & GOES-R FDTD

GOES-R ML ABI Airmass – CIRA Support for GOES-R Risk Reduction projects GOESR ABI Data combined with Machine Learning Techniques

GOES-R Proving Ground Activities – CIRA Tropical Cyclone Group

GOES-R Proving Ground Activities — CIRA Meteorological Satellite Application Group

GOES-R VLAB- CIRA support to GOES-R Training: The Satellite HydroMeteorology (SHyMet) Education and Outreach Program & GOES-R commitment to the WMO CGMS Int VLab & GOES-R FDTD Satellite Training Liaison

GOESR Proving Ground Activities — CIRA Training Team

GOESR Water Vapor Products CIRA Support for Research and Development for GOES-R Risk Reduction for Mesoscale Weather Analysis and Forecasting

JPSS-PGRR DNB VADER CIRA Support to JPSS Proving Ground Risk Reduction

JPSS-PGRR Gridded NUCAPS in AWIPS CIRA Support to Proving Ground Risk Reduction

JPSS-PGRR History CIRA Support to Proving Ground Risk Reduction

JPSS-PGRR Nighttime CCL CIRA Support to Proving Ground Risk Reduction

JPSS-PGRR TC ATMS CIRA Support to Proving Ground Risk Reduction

JPSS-PGRR VIIRS Multispec CIRA Support to JPSS Proving Ground Risk Reduction

Merged Water Vapor CIRA Support to Proving Ground Risk Reduction

NHC Satellite Application Developer – CIRA Support to a GOES-R Proving Ground for National Weather Service Forecaster Readiness and Training

NWS OPG – CIRA Support to the NOAA NWS Operations Proving Ground

Research Collaboration at the NOAA/NWS Aviation Weather Center (AWC) in Support of the Aviation Weather Testbed (AWT)

Research Collaboration at the NWS Aviation Weather Center (AWC) in Support of the Aviation Weather Testbed (AWT), Aviation Weather Research Program (AWRP), NextGen Weather Program.

Research-to-Operations at the NOAA/Aviation Weather Center (AWC) and Aviation Weather Testbed (AWT) in support of the FAA Aviation Weather Research Program (AWRP)

Research-to-Operations at the NOAA/Aviation Weather Center (AWC) and Aviation Weather Testbed (AWT) in support of the FAA Aviation Weather Research Program (AWRP).

SHyMet – CIRA support to GOES-R Training: The Satellite Hydro-Meteorology (SHyMet) Education and Outreach Program & GOES-R commitment to the WMO CGMS Intl VLab & GOES-R FDTD Satellite Training Liaison

AQPI Economic Impacts Study

Estimating the Economic Value of Improved Weather Forecasts Resulting from NOAA – GSD Research and Technology Transfer

CIRA Support to JPSS Proving Ground Risk Reduction Training Activities

Hydrometeorological and Water Resources Research

Improving Convection-Permitting Ensemble Based Uncertainty Communication for Decision Support Using the Weather Archive and Visualization Environment (WAVE)

Intelligent post-processing of convection-allowing model output to inform Weather Prediction Center outlooks and forecasts

JPSS PGRR VLAB CIRA Support to JPSS Proving Ground Risk Reduction Training Activities

Multi-disciplinary Investigation of Concurrent Tornado and Flash Flood Threats in Landfalling Tropical Cyclones

S2S Forecasting of North American Precipitation Anomalies: Using Empirical Forecasts to Challenge Dynamical Forecasts

Support of the Virtual Institute for Satellite Integration Training (VISIT)

Understanding the Role of the Diurnal Cycle and the Mean State On the Propagation of the Intraseasonal Variability Over the Maritime Continent