Observation-based research on atmospheric physical processes Dr Jonathan P Taylor – Head of Observations Based Research © Crown copyright Met Office Plus 48 staff at 3 locations OBSERVATION BASED RESEARCH Challenging our understanding of the Earth system using high quality research observations. Twinned with Natural Enivronment Research Council Founded: 1942 © Crown copyright Met Office Population: 50 Contents This presentation covers the following areas • Recent science results • Land surface temperature • Fog • Investment in Future Instrumentation • Aerosol scattering and absorption • Ice Nuclei Counter • Conclusions © Crown copyright Met Office Providing Understanding in to Land Surface Temperature Anomalies © Crown copyright Met Office Satellite retrievals of Land Surface Temperature using IASI DAY NIGHT This is data for Arizona but similar situation seen for many semiarid regions Stuart Newman Is this a problem with the satellite retrieval or the model background? • Need an independent measure of land surface temperature and emissivity • Need to understand the state of the atmosphere (temp and water vapour profiles, wind speed etc.) • SALSTICE campaign, Arizona May 2013. • ARIES – airborne interferometer capable of measuring thermal IR radiance at 4500 spectral intervals viewing in Nadir and Zenith © Crown copyright Met Office Typical ARIES spectrum © Crown copyright Met Office Stuart Newman Airborne and Satellite Retrievals of surface temperature IASI 1D-Var retrieved T_skin ARIES retrieved T_skin Global model background T_skin © Crown copyright Met Office Stuart Newman What is happening with the energy budget? Let’s look at 16 days of model and ground based observations Model is putting too much energy in to the atmosphere and not enough down in to the ground. © Crown copyright Met Office Chawn Harlow OBR Research in to Fog – modelling and observations © Crown copyright Met Office Fog research: Cardington Dewmeter • Requirement to measure water budget in fog • MO Cardington have developed lightweight micro-lysimeter • Very sensitive: measures deposition to 0.1 gm-2 • Accommodates variety of different canopies (natural and artificial) • Autonomous operation possible with stand alone logger • Details in paper submitted to BLM: Price and Clark (2013) © Crown copyright Met Office • Understanding balance between dew and fog formation is key to radiation fogs • Evolution of deposition in stratus fogs is key to visibility forecasting Large range in deposition across one airfield – Example data from Cardington dewmeters classic radiation night Deposition turns to evaporation as cloud moves overhead © Crown copyright Met Office Fog Night - deposition increases as fog thickens - as fog becomes adiabatic (thick) deposition decreases Jeremy Price Example of future fog research: the LANFEX experiment • LANFEX: Local And Non Local Fog EXperiement • Experiment based at Cardington (homogeneous) and region of hills (Shropshire, inhomogeneous) • To study Local insitu processes forming radiation fog (Cardington) • And non-local processes on formation and evolution (Shropshire) • Shropshire: different orographic regions will be instrumented to examine how the same mesoscale airmass evolves in different closely located locations with different orography • Is expected to elucidate more clearly the processes and requirements for forming radiation fog, and its evolution • New Cardington fog monitor weather stations are being built for this purpose (12) © Crown copyright Met Office under-forecast poor visibility at Cardington © Crown copyright Met Office Bernie Claxton model error obs–centric or model-centric • Neural net driven by same observations as UKV • UKV generates few occurrences of low visibility • NN shows that even with same errors in input fields there is scope for improving © Crown copyright Met Office visibility forecasts Bernie Claxton input error - forcing with obs • Blue crosses – UKV visibility driven by model inputs • Green crosses – UKV visibility driven by observations • Red crosses – NN driven by observations © Crown copyright Met Office UKV driven by obs generates false alarm cases of fog Bernie Claxton Reducing the uncertainties in aerosol optical properties © Crown copyright Met Office © Crown copyright Met Office Justin Langridge © Crown copyright Met Office © Crown copyright Met Office © Crown copyright Met Office Understanding Ice Nuclei in the Atmosphere © Crown copyright Met Office Met Office objectives • The science plan requires us to investigate whether incorporating aerosol-cloud interactions improves NWP. It also requires the generation of parametrisations for aerosol-cloud interactions in (coarser) climate models based on high resolution models. • The MetUM optionally has new microphysics with aerosol interactions, eg. based on UKCA-mode (UK chemistry and aerosol) with dust, sea-salt, biomass and anthropogenic aerosols represented by mass and number prognostic variables. • Extensive and well-constrained case studies are required to understand the aerosol-cloud interactions (using dynamically simple cloud systems) and to show the sensitivity of model evolution to IN and CCN. © Crown copyright Met Office Saharan dust and convective clouds © Crown copyright Met Office Key instrumentation. Ice Nuclei Counter - Designed - Built - Operated By OBR scientists © Crown copyright Met Office Richard Cotton Summary • OBR – using airborne and ground observations to study LST • OBR – making long term measurements of fog formation and challenging models • OBR – Investing in state of the art instrument development 29
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