Sub-km grid NWP for regions with complex orography

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Sub-km grid NWP for regions with complex orography Challenges with station forecast Experimental 750-metre HARMONIE-AROME @ DMI Xiaohua Yang, DMI

Operational experiences Since late 2016, DMI and IMO operate jointly IGA-2.5 km with HARMONIE-AROME 40h1.1 On a 2500 km x 2000 km domain covering South Greenland and Iceland

Operational experiences Since late 2016, DMI and IMO operate jointly IGA-2.5 km with HARMONIE-AROME 40h1.1 On a 2500 km x 2000 km domain covering South Greenland and Iceland (almost) All measurement stations (residential areas) in Greenland are at the coastal regions with complex orography

Statement of problems: Pros& Cons with HARMONIE-IGA (2.5 km) 24.5 m/s ECMWF DMI-HIRLAM-K05 IGA While ECMWF HiRES (9 km) and HIRLAM K05 (5.5 km) fail to predict wind over storm (24.5 m/s) for winter Greenland, HARMONIE-IGA (2.5 km) can. There is many incidence of over-prediction compared to observations.

2016110200 2016111100 15km HIRLAM 5 km HIRLAM 2.5 km HARMONIE 2016110518 2016110700 Observation 2016111418 2016112312 24h wind forecast with IGA for Ikermiit: extradinarily good

2016111612 2016111500 2017010100 HIRLAM T15 HIRLAM K05 HARMONIE IGA 2017011712. Tasiilaq Greenland 2017020400

For Qaanaaq, IGA & other models under-forecast storms.

Operational experiences Wind forecast for TASIILAQ 2016111500 1. Some of the over-prediction are associated with intensity and phase error......

Operational experiences 2. Some over-forecast cases were associated with strong local variability On 17/11 2016, while TASIILAQ wind measurement reads 6 m/s, it measured 15-22 m/s from the ship mast offshore the TASIILAQ harbour a few km away. (Courtesy Ship Captain Eyðun Simonsen, M/V Arina Arctica)

Strong local variability <== Complex orography ==> Needs very high resolution to resolve!!

5 km Aspect ratio ~1 2.5 km 750 m

HIRLAM-K05 5 km HARMONIE IGA 2.5 km Jan 31 2017, 18 UTC HARMONIE TAS 750 m

Wind forecast from a 750 m HARMONIE-AROME Centered in Tasiilaq, East Greenland, Jan 31 2017 5 km Seeing a storm

Faroe Islands Orography as seen with 750 m HARMONIE 5 KM

Christmas hurrican/ storm in Faroe Islands as simulated by 0.75 km-grid HARMONIE-arome Dec 25 2016 5 KM

HARMONIE-lite --- Possible supplementary NWP setup focusing on local storms @DMI@2018 Domains: 400x400x65, 0.75 km Cubic grid, LUNBC=T, VESL=0.1 DT=30s Blending, 24 fcst/6 h Peak use of CPU capacity on DMI s current operational Cray clustre: 3% Additional domains on-demand

HARMONIE-lite --- Possible supplementary NWP setup focusing on local storms @DMI@2018 Qaanaaq, Greenland

HARMONIE-lite --- Possible supplementary NWP setup focusing on local storms @DMI@2018 Nuuk, Greenland

HARMONIE-lite --- Possible supplementary NWP setup focusing on local storms @DMI@2018 Tasiilaq, Greenland

HARMONIE-lite --- Possible supplementary NWP setup focusing on local storms @DMI@2018 Vaga, Faroe Islands

HARMONIE-lite --- Possible supplementary NWP setup focusing on local storms @DMI@2018 Westfjords, Iceland

0 0 0 Tasiilaq Nuuk Harmonie-arome 0.75 km Harmomie-arome 2.5 km ECMWF Hires 9 km Vága

Summary Coastal Greenland/Iceland/Faroe Islands feature extreme weather situations associated with complex orography of very small scales. Aspect ratio (DX/DZ) approaches 1 ==> nonhydrostatic Weather extremes at km scales => 2.5 km grid resolution not sufficient While IGA in general is superior to coarser resolution models for wind forecast in Greenland, it deviates significantly from validating observations for some stations Single point deterministic forecast ( station forecast ) needs to consider spatial variability (upscaling; probabilistic information) Preliminary results with HARMONIE-AROME on sub-km grid-scale NWP appear promising Simulated flow appear realistic Satisfactory stability and affordability (DT=30s for cubic grid, VESL=0.1, LUNBC) Verification statistics on wind parameters look superior to coarser resolution Near future outlook: HARMONIE-lite at DMI: reliable and affordable Several configuration options to be checked further Optimal horizontal resolution (1 km? 750 m? 500m?) domain size (720x720, 400x400) Vertical resolution (L90?) Nesting and data assimilation Physical parameterisation and diagnosis