Did different Earth Science communities agree on a definition for Representation Uncertainty? Find out in our workshop commentary! Enjoyed working with @EmmaWoolliams and others from @metoffice@NCEOscience and @NPL on this.
Representation Uncertainty in the Earth Sciences - how do the observation, data assimilation and forecast verification and post-processing communities use this term, and can metrology help? See our publication with @NPL@Metoffice@NCEOscience https://t.co/gBIrz38ji9
We’re hiring scientists & software engineers for our Data Assimilation (DA) team!
DA is the process of combining observational data with output from a numerical model to produce an estimate of initial conditions for a weather forecast.
Apply by Sunday👉https://t.co/gAd8nvcAGT
Want to find out more about errors due to unresolved scales in convection permitting numerical weather prediction?
Check out our new joint @MetOffice_Sci & @UniofReading research published in QJRMS https://t.co/G7oyAvMacB.
Enjoyed working with @hwlean & @DrSarahDance on this!
This ECMWF/EUMETSAT @NWP_SAF Workshop has been great so far. Looking forward to this afternoons presentations and a lively panel discussion! #NWPSAF2020
Get set to watch day 3 of the ECMWF/EUMETSAT @NWP_SAF Workshop on the treatment of random and systematic errors in #satellite#DataAssimilation for NWP which focuses on “Observation errors”. Starts 09:00 GMT https://t.co/I5jHJq1Tba #NWPSAF2020
Great memories, of collecting the data for this paper. Oh the excitement when mathematicians venture out of the office! I will never forget the lock gate at Diglis @DrSanitaVetra @jemimatabeart 😂
🏅 Dr Joanne Waller @metoffice receives the LF Richardson Prize for her series of innovative papers reporting significant advances in understanding & implementing new observation uncertainty techniques.
#RMetSAwards@J_A_Waller
Now online - Our paper led by @jemimatabeart , with @DrSarahDance, @J_A_Waller & N.K. Nichols (@UniofReading), S. Migliorini & F. Smith (@MetOffice_Sci). Reconditioning observation error matrices in the Met Office 1DVar @NCEOscience
https://t.co/xFZV7M77GL
Royal Met. Society 'Assimilation of Big data' meeting at @UniofReading Wednesday 25th September. Talks from @metoffice, @ECMWF, @UniofReading and @dmidk scientists. Registration and poster submission deadline next week!
Special Interest Meeting: Assimilation of Big Data at @UniofReading on Wed 25 Sept 2019 12:30-16:50. It will look at improving the use of high-resolution observations & look to future assimilation of big data. Deadline for poster submission 18 Sept https://t.co/e4VbILktlX
Special Interest Meeting: Assimilation of Big Data at @UniofReading on Wed 25 Sept 2019 12:30-16:50. It will look at improving the use of high-resolution observations & look to future assimilation of big data. Deadline for poster submission 18 Sept https://t.co/e4VbILktlX
A great collaboration between #UoR and #DWD scientists (including @roland_music and @DrSarahDance ) to quantify uncertainties in radar superobservations. Check out the results in our @MonWeaRev article: https://t.co/nGWdS7ES1J
Is it feasible and beneficial to assimilate dense observations with spatially correlated errors in an operational NWP system? Our new paper has the answer RMetS Journals https://t.co/mbtYsMu9Rm
@DrSarahDance
Check out our @NERC_FFIR early career researchers overview paper in #mdpiwater on 'Recommendations for Improving Integration in National End-to-End Flood Forecasting Systems: An Overview of the FFIR (Flooding From Intense Rainfall) Programme' https://t.co/snEyyXvYdi @Water_MDPI
From summer placement project report to journal article! #UoR undergrad student Jeremy has worked hard to publish his research on 'Improving Aircraft-Derived Temperature Observations Using Data Assimilation'. Check out the results at https://t.co/9Fx9hVpfgH
Do you want to hear about the outputs from the @NERCscience Flooding From Intense Rainfall Programme?
Do you fancy lunch with live music and a chance to play some fantastic flood based games?
Come to our Open Event in London on 27th November.
Contact @Linda_sp8 to find out more
Introducing the new WOW blog, for updates on how your weather observations are being used to help improve weather forecasts and warnings. As of July 2018, WOW have received well-over a billion weather observations, so keep them coming! https://t.co/nlLCIvhnnZ