[2024]

* Erin Jones earned the award: "School of Meteorology Outstanding Performance as a Graduate Student". (Apr. 2024) [picture1][picture2]

[2023]

* Naicheng Xu successfully defended his MS thesis. (2023)

* Drew Shearer successfully defended his MS thesis! (2023)

* Yu-shin Kim won travel award from International Symposium on Data Assimilation. (2023)

* Xuguang Wang gave an invited talk at International Symposium on Data Assimilation, Bologna, Italy. (2023) [link]

* Yu-shin Kim and Naicheng Xu gave presentations at the International Symposium on Data Assimilation, Bologna, Italy. (2023)

* Xuguang Wang earned OU OVPRP Significant Impact Research Grant Program award. (2023)

* Yu-shin Kim successfully defended his MS thesis! (2023)

* Xuguang Wang gave an invited talk, “Experience of using UFS for academic research”, UIFCW workshop. (2023)

* Xuguang Wang gave an invited panelist talk: “Community data assimilation development: academic perspectives”, UIFCW workshop. (2023)

* Yongming Wang, Yue Yang, Nick Gasperoni, and Xu Lu gave 6 presentations at the UIFCW workshop. (2023)

* Aaron Johnson and Zhihong Chen gave two talks at the AMS 32nd Conference on Weather Analysis and Forecasting (WAF)/28th Conference on Numerical Weather Prediction (NWP). (2023)

* Xuguang Wang gave an invited talk, “Multiscale data assimilation for numerical weather prediction”, AMS 32nd Conference on Weather Analysis and Forecasting (WAF)/28th Conference on Numerical Weather Prediction (NWP). (2023)

* Xuguang Wang is elected as a NOAA Science Advisory Board (SAB) Environmental Information Services Working Group (EISWG) member. (2023)

* Xuguang Wang won the American Meteorological Society (AMS) Weather Analysis and Forecasting Distinguished Scientific or Technological Accomplishment Award. (2023)

* Nick Gasperoni, Aaron Johnson, Zhihong Chen, Yu-shin Kim, Yongming Wang, Drew Shearer, and Xuguang Wang gave 9 presentations at the 2023 AMS annual meeting. (2023)

* Sam Degelia gave an talk “ Assimilation of GOES-16 ABI all-sky radiance observations in RRFS using hybrid EnVar: Development and impacts for a severe convective event during ISDA online. (2023)

[2022]

* Xuguang Wang gave an invited talk, “Cost-Effective Data Assimilation Using Machine Learning: A Proof of Concept for Convective Scale Analysis and Forecast”, WMO WWRP PDEF and DAOS joint annual meeting. (2022)

* Prof. Wang had an interview with KOCO News on the Congress mandated Priorities for Weather Research (PWR) report. (2022) [link]

* Prof. Xuguang Wang gave invited talk, “Data Assimilation for Numerical Weather Prediction: Status, Challenges and Opportunities in the US Academia”, AMS Summer Community Meeting. (2022)

* Prof. Wang gave invited keynote talk, “Mutiscale data assimilation for numerical weather prediction”, Unifying Innovations in Forecasting Capabilities Workshop. (2022)

* Erin Jones won travel Award from International Symposium on Data Assimilation. (2022)

* Tyler Green won Tommy C. Craighead Award for Best MS Thesis Paper in Radar Meteorology. (2022)

* Erin Jones successfully defended her MS thesis. (2022)

* Zhihong Chen successfully defended his MS thesis. (2022)

* Xu Lu presented “Assimilating GOES-16 all-sky ABI radiances with the HAFS dual-resolution EnVar DA”, Unifying Innovations in Forecasting Capabilities Workshop. (2022)

* Nick Gasperoni presented “An FV3-LAM multiscale EnVar System for t 2021 and 2022 Hazardous Weather Testbed Spring Forecast Experiments: Systematic impact of valid time shifting to increase ensemble size”, Unifying Innovations in Forecasting Capabilities Workshop. (2022)

* Sam Degelia presented “Development and research of assimilating GOES-16 ABI all-sky radiance observations in FV3-LAM using hybrid EnVar”, Unifying Innovations in Forecasting Capabilities Workshop. (2022)

* Prof. Xuguang Wang presented “Multiscale Local Gain Form Ensemble Transform Kalman Filter (MLGTKF)", International Symposium on Data Assimilation. (2022)

* Aaron Johnson presented “Online non‐linear bias correction of ABI allsky radiances in rapidly cycled convective‐scale ensemble‐based data assimilation”, International Symposium on Data Assimilation. (2022)

* Xu Lu presented “Simultaneous Multiscale 4DEnVar with scale dependent localization (SDL) in HAFS for hurricane predictions”, International Symposium on Data Assimilation. (2022)

* Erin Jones presented “Multi‐Resolution and Multiscale Ensemble Hybrid 4DEnVar to Improve FV3 based GFS Medium‐Range Global and Tropical Cyclone Numerical Prediction”, International Symposium on Data Assimilation. (2022)

* Xu Lu presented “Improving the Four‐Dimensional Incremental Analysis Update (4DIAU) with the HWRF 4DEnVar Data Assimilation System for Rapidly Evolving Hurricane Prediction”, International Symposium on Data Assimilation. (2022)

* Nick Gasperoni, N. presented “An FV3‐LAM multiscale EnVar System for the 2021 and 2022 Hazardous Weather Testbed Spring Forecast Experiments: Systematic impact of valid time shifting to increase ensemble size”, International Symposium on Data Assimilation. (2022)

* Yongming Wang presented “A Multivariant Additive Inflation Approach to Improve Stormscale Ensemble‐Based Data Assimilation and Forecasts of a Tornadic Supercell”, International Symposium on Data Assimilation. (2022)

* Yongming Wang presented “Simultaneous multiscale EnVar to improve convective scale weather data assimilation and prediction”, International Symposium on Data Assimilation. (2022)

* Prof. Xuguang Wang presented “Cost‐effective data assimilating using machine learning: a proof of concept”, International Symposium on Data Assimilation. (2022)

* Xu Lu presented “Simultaneous Multiscale 4DEnVar for Hurricane Analysis and Forecast System (HAFS) to Improve Hurricane Predictions”, AMS 35th Hurricane and Tropical Meteorology. (2022)

* Xu Lu presented “Assimilation of GOES-16 all-sky ABI radiances using the HAFS dual-resolution EnVar DA system for hurricane prediction”, AMS 35th Hurricane and Tropical Meteorology. (2022)

* Prof. Wang gave invited talk, “Multiscale data assimilation for NWP”, Fudan University, China. (2022)

* Prof. Wang gave invited talk, “Multiscale data assimilation for NWP”, WWRP PDEF spring meeting. (2022)

* Xu Lu presented “Assimilating GOES-16 ABI All-Sky Radiance Observations Using the HAFS Dual-Resolution EnVar DA System for Hurricane Predictions”, AMS annual meeting. (2022)

* Yongming Wang presented “Using Machine Learning to Implement Heterogeneous Convective-Scale Static Background Error Covariances in Hybrid EnVar to Improve Supercell Predictions”, AMS annual meeting. (2022)

* Erin Jones presented “Multiresolution and Multiscale Hybrid 4DEnVar for NCEP FV3GFS to Improve Global and Hurricane Numerical Prediction”, AMS annual meeting. (2022)

* Prof. Xuguang Wang presented “Online Nonlinear Bias Correction in Ensemble Kalman Filter to Assimilate GOES-R All-Sky Radiances for the Analysis and Prediction of Rapidly Developing Supercells”, AMS annual meeting. (2022)

* Prof. Xuguang Wang presented at the AMS town hall meeting, “Priorities for Weather Research for the Next Decade’, AMS annual meeting. (2022)

* Yue Yang presented “A Comparison of 4DEnVar and 3DEnVar for Convective-Scale Direct Radar Reflectivity Assimilation in a Variety of Nonlinearities”, AMS annual meeting. (2022)

* Sam Degelia presented “Impacts of Flow-Dependent and Static Observation Error Estimation for the Frequent Assimilation of Thermodynamic Profilers on Convective-Scale Forecasts”, AMS annual meeting. (2022)

* Sam Degelia presented “Assimilating GOES-16 ABI All-Sky Radiance Observations in FV3-LAM Using Hybrid EnVar”, AMS annual meeting. (2022)

* Aaron Johnson presented “Utilizing the Flow-Dependent Performance of a Convection-Allowing Ensemble to Improve Random Forest-Based Convective Outlook Guidance Products”, AMS annual meeting. (2022)

* Tsung Han Li presented “Application of the Cost-Effective Valid Time-Shifting Method on the EnVar Analysis of the Storm Environment”, AMS annual meeting. (2022)

* Nick Gasperoni presented “Systematic Impact of Valid Time Shifting to Increase Ensemble Size for the Convective-Scale EnVar System on FV3-LAM Forecasts during the Real-Time 2021 HWT SF”, AMS annual meeting. (2022)

* Aaron Johnson presented “Evaluation of Experimental FV3-Based RRFS Configurations during 2020 HWT SFE from the Perspective of Simulated ABI Radiances”, AMS annual meeting. (2022)

[2021]

* Prof. Xuguang Wang co-organized and co-led the Symposium of 10-year priorities for weather research: Observation and data assimilation. (2021)

* Xu Lu presented “Landfalling hurricane data assimilation and prediction for the US next generation Hurricane Analysis and Forecasting System (HAFS)”, CIWRO Virtual Workshop on Mesoscale and Storm Scale Meteorology. (2021)

* Aaron Johnson presented “Development and research of GOES-R ABI all sky radiance data assimilation for rapidly evolving convective scale weather prediction”, CIWRO Virtual Workshop on Mesoscale and Storm Scale Meteorology. (2021)

* Prof. Xuguang Wang presented “Multiscale data assimilation for short range and medium range numerical weather prediction”, CIWRO Virtual Workshop on Mesoscale and Storm Scale Meteorology. (2021)

* Yongming Wang presented “Advancement of convective scale radar data assimilation in the US UFS FV3-LAM system”, CIWRO Virtual Workshop on Mesoscale and Storm Scale Meteorology. (2021)

* Erin Jones earned the 102nd AMS annual meeting student travel award. (2021)

* Prof. Wang is awarded with 125th Anniversary Alumni Fellow, College of Earth and Mineral Sciences, The Pennsylvania State University. (2021)

* Prof. Wang is invited to co-lead the observation and data assimilation task team to perform Congress mandated study to advise Congress on how to invest the US weather research, forecasting and enterprise for the next decade. (2021)

* Yongming Wang presented “Further development of simultaneous multiscale data assimilation in EnVar to improve convective scale weather prediction” at the WMO WWCP-WWRP symposium on data assimilation and reanalysis. (2021)

* Prof. Wang presented “A new multiscale data assimilation method: Multiscale Local Gain Form Ensemble Transform Kalman Filter (MLGETKF)” at the WMO WWCP-WWRP symposium on data assimilation and reanalysis. (2021)

* Krisha Chandramouli presented “Online nonlinear bias correction in ensemble Kalman filter to assimilate GOES-R all-sky radiances for the analysis and prediction of rapidly developing supercells” at the WMO WWCP-WWRP symposium on data assimilation and reanalysis. (2021)

* Nick Gasperoni presented “Using a cost-effective approach to increase background ensemble size in EnVar to improve radar analyses and forecasts of convective systems at the WMO WWCP-WWRP symposium on data assimilation and reanalysis. (2021)

* Prof. Wang gave two talks at the UFS annual meeting. (2021)

* Sam Degelia presented “Impact of Flow-dependent and Static Observation Error Estimation for the Frequent Assimilation of Thermodynamic Profilers on Convective-scale Forecasts” at the International Symposium on Data Assimilation. (2021)

* Prof. Wang gave an invited talk “Novel methodology and holistic infrastructure development for data assimilation” at the 10-year priorities for weather research: Observation and data assimilation symposium. (2021)

* Xu Lu and Prof. Wang gave an invited seminar “Research and Development of Self-Cycled, Dual-Resolution Hybrid EnVar for HWRF Inner Core Data Assimilation and Implication for HAFS”. NOAA Environmental Modeling Center. (2021)

* Prof. Wang represents MAP to present "A Multiscale Local Gain Form Ensemble Transform Kalman Filter (MLGETKF)" at the EnKF workshop. (2021)

* Prof. Wang represents MAP to present "Online nonlinear bias correction in ensemble Kalman filter to assimilate GOES-R all-sky radiances for the analysis and prediction of rapidly developing supercells" at the 18th JCSDA Technical Review Meeting and Science Workshop. (2021)

* Aaron Johnson and Zhihong Chen presented their research at 16th AMS Conference on Polar Meteorology and Oceanography. (2021)

* Xu Lu representing MAP presented hurricane data assimilation research at the 34th AMS conference on Hurricane and Tropical Meteorology. (10 May 2021) [link]

* Hristo Chipilski is awarded with NCAR fellowship. (Apr. 2021)

* Prof. Wang gave an invited seminar titled “Multiscale data assimilation for numerical weather prediction” at University of Maryland. (Apr. 2021) [link]

* Erin Jones received an Honorable Mention for NSF graduate fellowship. (Mar. 2021)

* Sam Degelia passed his Ph.D. defense. Congratulations! (Mar. 2021)

* Professor Wang and MAP efforts are highlighted in the newsletter of UCAR/NSF/NOAA Developmental Testbed Center. (2021) [link]

* MAP lab members Yue Yang, Yongming Wang, Nick Gasperoni, Xu Lu, Fan Han, Aaron Johnson, and Xuguang Wang gave 9 presentations at the 101st AMS annual conference. (Jan. 2021)

* Hristo Chipilski gave an invited seminar at NCAR. (Jan. 2021)

[2020]

* Prof. Wang is recognized as the most influential researchers in the world, published by PLOS Biology. (2020) [link]

* MAP lab in collaboration with NOAA ESRL, NCEP and AOML implemented the direct ground based radar data assimilation capability in operational HRRR and HWRF. (2020) [link]

* OU MAP lab organized virtual Fall Pumpkin Decoration Contest. (2020) [link] [pictures]

* Prof. Xuguang Wang gave an invited presentation at the WMO WWRP annual meeting. The theme for this year is "Fostering international collaboration on ensemble prediction, data assimilation, and nowcasting from urban scale to tropical convection". (Sep. 2020)

* Sam Degelia gave an invited seminar at NCAR EOL. (Jul. 2020)

* Xu Lu won the OU Provost's Ph.D. Dissertation Prize Award. (2020)

* Aaron Johnson is elected as a School of Meteorology adjunct assistant professor. (2020)

* Bo Huang successfully defended his Ph.D. dissertation. (2020)

* Hristo Chipilski obtained student travel award from international data assimilation symposium. (2020)

* Xuguang Wang is an Invited panelist for data assimilation and NWP in “JPSS GOES-R proving ground summit”. (2020)

* Xuguang Wang is elected as a member of WMO WWRP Predictability, Dynamics, and Ensemble Forecasting working group. (2020)

* MAP members Fan Han, Andy Wilkins, Nick Gasperoni, Yongming Wang, Yue Yang, Yongjie Huang, Xuguang Wang and Erin Jones attend the 100th AMS annual meeting at Boston, MA. (Jan. 2020) [picture]

[2019]

* Prof. Xuguang Wang from Multiscale data Assimilation and Predictability (MAP) lab gave an invited talk at AGU titled "Multi-resolution and multiscale data assimilation in EnVar for global and convective scale numerical weather prediction". (2019)

* Xu Lu successfully defended his Ph.D. dissertation. (2019)

* MAP lab (Aaron Johnson, Yongming Wang, Hristo Chipilski, Xu Lu, Nick Gasperoni and Xuguang Wang) gave invited talks to CMA NWP center scientists. (Oct. 2019)

* OU MAP lab organized the inter-culture exchange food tasting outing event 2019. (Oct. 2019) [picture]

* Erin Jones, MAP graduate student, won the AMS fellowship. (Aug. 2019)

* Ben Davis successfully defended his MS thesis. (2019)

* Sam Degelia and Hristo Chipilski represented MAP to attend the AMS mesoscale conference. (Jul. 2019)

* Prof. Xuguang Wang gave invited speech at IAMAS international conference. (Jul. 2019)

* Prof. Xuguang Wang gave invited seminar at JPL. (Jun. 2019)

* Prof. Xuguang Wang gave invited seminars at Naval Research Lab. (Jan./Feb. 2019)

* Bo Huang won the Best Student Presentation Award at the 23rd AMS IOAS-AOLS Conference in the AMS annual meeting. (2019)

* MAP members, Jie Feng, Aaron Johnson, Xu Lu, Bo Huang, and Xuguang Wang, attended the 2019 AMS meeting at Phoenix, AZ. [picture]

* Prof. Xuguang Wang is awarded with the title of "Robert Lowry Chair Professor". (2019)

* MAP member Xu Lu won the 2019 AMS student travel award. (2019)

[2018]

* Prof. Xuguang Wang earned the Honorable Mention award from the OU College of Atmospheric and Geographic Sciences photo contest. (2018)

* Prof. Xuguang Wang gave an invited seminar at University of Maryland. (Oct. 22, 2018) [link]

* Dr. Wang gave invited talk at NOAA ESRL and NCEP. (Sep/Oct. 2018) [picture]

* Prof. Xuguang Wang gave series of invited colloquiums in China. (2018)

* Aaron Johnson, Yongming Wang and Nick Gasperoni represented MAP attended 29thconf. on Weather Analysis and Forecasting/25thconf. on Numerical Weather Prediction. (Jun. 4-8, 2018) [picture]

* MAP 2018 Spring Outing: OKC Dodgers vs Nashville Sounds. (May. 20, 2018) [picture]

* Prof Wang and Bo Huang representing MAP attended the 8th EnKF workshop at Montreal. (May 2018) [picture]

* Nick Gasperoni from MAP obtained his PhD degree. (May 2018) [picture]

* MAP members, Xu Lu, Jie Feng, Ben Davis and Xinyan Lyu, attended the AMS tropical conference. (Apr. 16-19, 2018) [picture]

* Prof. Xuguang gave an invited seminar titled "Research and development of GSI-based ensemble-variational data assimilation for convective scale severe weather and hurricane prediction" at the Texas A&M University. [picture]

* Xu Lu from MAP is the Spring 2018 recipient of the SoM Douglas Lilly Award for best Ph.D. manuscript.[picture 1 2]

* MAP student Hristo Chipilski won the travel award from the 6th International Symposium on Data Assimilation to be held 5 - 9 March 2018, Munich, Germany.

* Prof. Xuguang Wang is invited to give a keynote talk at the 6th International Symposium on Data Assimilation to be held 5 - 9 March 2018, Munich, Germany. Prof. Wang will discuss "Development and research of GSI-based EnVar for convective-scale radar data assimilation: challenges and recent progress".

* Hristo Chipilski won the Best Student Poster Presentation Award at the 98th AMS annual meeting!

* MAP lab members attend the 98th AMS annual meeting at Austin, TX. [picture]

* Xuguang Wang is one of the top 10 most impactful atmospheric scientists in the world based on the ISI Web of Science productivity and impact analysis by Chinese Academy of Science for papers published during 2011-2015.

[2017]

* MAP organized their first fall hiking and BBQ event at Elk Mountain with family and friends. (Oct. 22, 2017) [pictures]

* Aaron Johnson, Hristo Chipilski and Chris Kerr from MAP have won travel award and will represent MAP to attend the 5th International Symposium on Earth Science Challenges (ISEC) in Kyoto, Japan. (2017)

* Bo Huang won World Meteorology Organization data assimilation symposium travel award. (2017)

* Hristo Chipilski won the 2nd Prize on oral presentation in the 17th AMS Mesoscale Meteorology conference. (2017)

* Hristo Chipilski received Spring 2017 SoM award for Outstanding Performance as a Graduate Student. (2017) [picture]

* Xu Lu, a graduate student, in the Multiscale data Assimilation and Predictability (MAP) lab, has been declared the Best Student Presentation of the 21st AMS IOAS-AOLS Conference in January 2017, for his presentation entitled “Impact of Issues of Vortex Initialization and HWRF Model Errors on Hurricane Inner Core Data Assimilation and Intensity Prediction”. His presentation was evaluated as one of the top two in a high-quality field of eligible presentations.

* Prof Xuguang Wang representing the data assimilation and ensemble development team of the NOAA Hurricane Forecast Improvement Program (HFIP) presented the milestones made by the team in the HFIP annual meeting. Prof Wang was named as co-lead of the HFIP data assimilation team since 2012. [picture]

* Xu Lu received AMS travel award. (2017)

[2016]

* Yongming Wang and Chris Kerr from MAP presented in 28th AMS Conference on Severe Local Storms. (Nov. 2016)

* Sam Degelia passed his MS thesis defense. (2016) [graduation ceremony]

* Dr. Wang is invited to give a keynote talk on the 7th International Conference on Atmosphere, Ocean and Climate change, Beijing, July 27-30, 2016. The title of her keynote talk is "GSI-based hybrid ensemble-variaitonal data assimilation for global, hurricane and storm scale numerical weather prediction".

* Jeff Duda successfully defended his Ph.D. dissertation. (2016)

* The Multiscale data Assimilation and Predictability (MAP) group featured in multiple media posts on their PECAN modeling and data assimilation project. Here are the links. http://nsf.gov/discoveries/disc_summ.jsp?cntn_id=138006&org=NSF https://www.tacc.utexas.edu/-/fine-tuning-forecasts-of-nighttime-storms-on-the-plains http://phys.org/news/2016-04-fine-tuning-nighttime-storms-plains.html

* Hristo Chipilski is awarded the MMet Undergraduate Prize. (2016)

* MAP (Prof. Wang, Aaron Johnson, Nick Gasperoni, Bo Huang, Xu Lu and Chris Kerr) presented research at the 7th EnKF workshop. (May 23-27, 2016) [picture]

* Chris Kerr won travel award for 2016 AMS IOAS-AOLS Conference. (2016)

[2015]

* Prof. Wang was selected as Co-lead of the Data Assimilation Team of the NOAA Hurricane Forecast Improvement Program. (2015)

* Nick Gasperoni won 2015 School of Meteorology Douglas Lilly award for best Ph.D. Publication award [award ceremony A B]

* Chris Kerr won the 2015 School of Meteorology Yoshi Sasaki Award for best M.S. paper [award ceremony A B]

* Aaron Johnson won the 2014 Provost's Ph.D. Dissertation Award [award ceremony]

* Nick Gasperoni won Best Student Presentation Award from American Meteorology Society Annual Meeting. (2015)

[2014]

* Jeff Duda won Third place Student Presentation Award from American Meteorology Society 27th Conference on Severe Local Storms. (2014)

* Prof. Wang won OU Presidential Research Professorship. (2014)

* Chris Kerr won Best Student Presentation Award from American Meteorology Society Annual Meeting. (2014)

* New Video on data assimilation and NWP targeted from elementary to high school students developed by MAP is implemented at NWC in Fall 2014.

[2013]

* Yongzuo Li is awarded with Douglas Lilly Best Ph.D. publication award of School of Meteorology. (2013)

[2012]

* Aaron Johnson is awarded with Best Graduate Performance award of School of Meteorology. (2012)

* Xuguang Wang won Dean's Award for Excellence in Research and Scholarship. (2012)

[2011]

* Aaron Johnson is awarded with Yoshi Sasaki Best M.S. publication award of School of Meteorology. (2011)

[2010]

* Xuguang Wang won NASA New Investigator Award. (2010)

[2009]

* Aaron Johnson is awarded with American Meteorological Society Graduate Fellowship. (2009)