Paper on a proposed road map to designing new high-resolution models published in Weather and Forecasting

Example of different types of satellite data available in the regional model area (marked by the dotted line) embedded within the global model (part of which is shown outside the dotted line). Numerical weather forecast models run on a grid, or regularly spaced group of points that cover the particular area of interest. These models … Continue reading Paper on a proposed road map to designing new high-resolution models published in Weather and Forecasting

Paper on a new way to input observations into weather models published in Monthly Weather Review

Summary:  Predicting the weather with 100% accuracy is an impossible task. Doing so would require full knowledge of the Earth system (the air, water, land, etc.) including the present state of the atmosphere (its wind, temperature, humidity, etc.). It would also require a complete understanding of everything that causes the weather. In reality, our understanding … Continue reading Paper on a new way to input observations into weather models published in Monthly Weather Review

HRD Seminar – Dr. Jonathan Poterjoy, University of Maryland – 16 October 2018

Dr. Poterjoy presented a seminar titled “Regional Weather Prediction Using an 'Iterative' Local Particle Filter". ABSTRACT: Particle filters (PFs) are sequential Monte Carlo methods that can solve data assimilation problems characterized by non-Gaussian error distributions for prior model variables or measurements. From the perspective of a geoscientist, PFs contain several theoretical properties that make them … Continue reading HRD Seminar – Dr. Jonathan Poterjoy, University of Maryland – 16 October 2018

HRD Monthly Science Meeting of September 2018

September’s science meeting consisted of three presentations: Miguel Cortez (NERTO intern) – The impact of Global Hawk Dropsonde Data Assimilated in Both Global and Regional Forecast Models During Hurricane Harvey Jon Poterjoy (Maryland) - Research Applications for the Basin-Scale HWRF Data Assimilation and Forecasting System Andy Hazelton - FV3 Hurricane Nest (HFV3) Development and Analysis … Continue reading HRD Monthly Science Meeting of September 2018

AOML and HRD researchers at 33rd AMS Conference on Hurricanes and Tropical Meteorology, Ponte Vedra, FL – 15-20 April 2018

Thirty-one AOML and HRD scientists participated in the recent 33rd AMS Conference on Hurricanes and Tropical Meteorology in Ponte Vedra, FL, as authors or co-authors on 65 presentations and 19 posters. Roughly 783 presentations (507 oral presentations in 67 sessions and 276 posters in 2 session) were submitted to the conference. Of the 567 TC-related presentations … Continue reading AOML and HRD researchers at 33rd AMS Conference on Hurricanes and Tropical Meteorology, Ponte Vedra, FL – 15-20 April 2018

Jon Poterjoy presents at the The 8th EnKF Data Assimilation Workshop in Sainte-Adèle, Québec, Canada

The 8th Ensemble Kalman Filter Data Assimilation Workshop was held in Sainte-Adèle, Québec, and HRD scientist Jon Poterjoy chaired a session on Transport problems and non-Gaussian problems and presented "Toward the Application of Particle Filters for Numerical Weather Prediction and Research."  You can follow the link to see the presentation, and other presentations from the workshop.

HRD & AOML researchers at 98th American Meteorological Society Annual Meeting, Austin, TX – 7-11 January 2018

Abstracts and recordings of  the 27 presentations and 9 posters AOML & HRD researchers presented (or were co-authors) at the 98th AMS Annual Meeting are available online from the AMS website: Presentations: Karina Apodaca, M. Zupanski, L. Cucurull, and M. Hu - Implementation of the GOES-16 GLM Lightning Assimilation into the NCEP/GSI System for Improved … Continue reading HRD & AOML researchers at 98th American Meteorological Society Annual Meeting, Austin, TX – 7-11 January 2018

HRD Seminar – Dr. Jon Poterjoy, HRD/NRC – Post-Doc Fellow – 30 March 2017

Dr. Poterjoy presented a seminar on “Progress and Lessons Learned During a Six-Month Collaboration with NOAA NSSL on Convective-Scale Data Assimilation". ABSTRACT The nonlinear evolution of model forecast errors in convective weather regimes presents a major obstacle for predicting severe weather events. Ensemble forecasts provide an effective means of characterizing this uncertainty, which is a crucial step … Continue reading HRD Seminar – Dr. Jon Poterjoy, HRD/NRC – Post-Doc Fellow – 30 March 2017