{"id":1910,"date":"2023-11-29T13:59:31","date_gmt":"2023-11-29T13:59:31","guid":{"rendered":"https:\/\/research.reading.ac.uk\/met-darc\/?page_id=1910"},"modified":"2026-03-25T16:07:16","modified_gmt":"2026-03-25T16:07:16","slug":"darc-blogs","status":"publish","type":"page","link":"https:\/\/research.reading.ac.uk\/met-darc\/news-and-events\/darc-blogs\/","title":{"rendered":"DARC blog"},"content":{"rendered":"

In November 2023 we launched what will be a regular blog highlighting the research achievements of the DARC group. The blog will also deliver short explainers on concepts fundamental to data assimilation and its connection to other research areas and much more!<\/p>\n

Below is a list of all posts in reverse chronological order:<\/p>\n

25\/03\/2026: Teaching a Neural Network to Smooth the Ocean model reanalyses<\/a> by Sukun Cheng<\/p>\n

11\/03\/2026: The critical role of cross-variable covariances in high-resolution data assimilation<\/a> by Ravi Shankar Nemani<\/p>\n

11\/02\/2026: Can you explain that again? Connecting explainable AI and data assimilation in Earth sciences<\/a> by Ieuan Higgs<\/p>\n

28\/01\/2026:\u00a0Gaussian anamorphosis for log-normal distributions<\/a> by Yumeng Chen<\/p>\n

14\/01\/2026:\u00a0Improving How We Represent the Land in Earth System Models<\/a> by Natalie Douglas<\/p>\n

06\/11\/2025: New DARC PhD students in 2025<\/a> by Maori, Tom and Jesse<\/p>\n

22\/10\/2025: 11th International Symposium on Data Assimilation<\/a> By Alison Fowler<\/p>\n

09\/07\/2025: Data assimilation training @ Univ. of Reading 2025<\/a> by Guannan Hu<\/p>\n

18\/06\/2025:\u00a0How computational limitations can lead to fun and new mathematics!<\/a> by Jemima M. Tabeart<\/p>\n

28\/05\/2025: The value of observations for weather prediction in the age of machine learning<\/a> by Sarah L Dance<\/p>\n

14\/05\/2025:\u00a0TCCAS: The Terrestrial Carbon Cycle Assimilation System<\/a> by Tristan Quaife<\/p>\n

30\/04\/2025: Progress in estimating the state of the atmosphere-ocean system<\/a> by Peter Jan van Leeuwen<\/p>\n

16\/04\/2025:\u00a0Simultaneous estimation of the atmosphere and ocean states<\/a> by Amos Lawless<\/p>\n

03\/04\/2025: The least squares method in data assimilation<\/a> by Ross Bannister<\/p>\n

19\/03\/2025: Hybrid modeling of sea ice column physics<\/a> by Giovanni De Cillis and Alberto Carrassi<\/span><\/p>\n

07\/03\/2025: Understanding the Land Surface Temperature retrievals from satellites<\/a> by Riccardo Monfardini<\/p>\n

21\/02\/2025: Your noise is my signal: using unconventional observations in Data Assimilation<\/a> by <\/span>Javier Amezcua <\/span><\/p>\n

05\/02\/2025: Improving Artic Sea-Ice Forecasts with Ensemble Data Assimilation<\/a> by Sukun Cheng<\/p>\n

22\/01\/2024: American Meteorological Society\u2019s Annual Meeting 2025<\/a> by Rishabh Bhatt<\/p>\n

11\/12\/2024: Data Assimilation for Atmospheric Composition<\/a> by Melanie Ades<\/p>\n

27\/11\/2024:\u00a0Meet Our New Lecturer<\/a> by Eviatar Bach<\/p>\n

13\/11\/2024: Improving Soil Moisture Prediction Using Joint State-Parameter Assimilation in JULES<\/a> by Visweshwaran Ramesh<\/p>\n

06\/11\/2024: International Symposium on Data Assimilation 2024<\/a> by Amos Lawless<\/p>\n

30\/10\/2024: Meet Our Newest PhD Students<\/a> by Miranti, Kate and Ravi<\/p>\n

16\/10\/2024: National Earth Observation Conference 2024<\/a> by Laura Risley and Ieuan Higgs<\/p>\n

20\/06\/2024: 12th Workshop on Meteorological Sensitivity Analysis and Data Assimilation<\/a> by Laura Risley<\/p>\n

31\/05\/2024: Observation-related matrix calculations in variational data assimilation<\/a> by Guannan Hu<\/p>\n

<\/div>\n

01\/05\/2024: Why do we bother with data assimilation software (and PDAF)?<\/a> by Yumeng Chen<\/p>\n

<\/div>\n

17\/04\/2024: \u201cDoomed (!), doomed (?)\u201d \u2013 Is the AMOC at risk of reversal?<\/a> by Ivo Pasmans<\/p>\n

<\/div>\n

04\/04\/2024: The need for observations of the coastal marine ecosystem<\/a> by Alison Fowler<\/p>\n

21\/03\/2024:\u00a0Are satellite observations really measuring the same thing as your model predicts? Probably not. Here\u2019s what to do about it<\/a>\u00a0by Tristan Quaife<\/p>\n

06\/03\/2024: Steam Engines, Air Pollution, And Data Assimilation<\/a> by Jochen Broecker<\/p>\n

06\/03\/2024: Using 4DEnVar to constrain land surface models with observations<\/a> by Natalie Douglas<\/p>\n

<\/div>\n

09\/02\/2024: Women and Girls in Science Leadership, a New Era for Sustainability<\/a> by Gwyneth Matthews<\/p>\n

25\/01\/2024: A brief look at machine learning and its applications in data assimilation<\/a> by Ieuan Higgs<\/p>\n

10\/01\/2024: Data assimilation and deep learning: the changing face of numerical weather prediction<\/a> by Sarah Dance<\/p>\n

14\/12\/2023: Using mathematics to make the data assimilation problem easier to solve<\/a> by Amos Lawless<\/p>\n

29\/11\/2023: Shedding some light on DARC<\/a> by Ross Bannister<\/p>\n

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 <\/p>\n","protected":false},"excerpt":{"rendered":"

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