Verification and YOPPsiteMIP in Southern Hemisphere

Taneil Uttal, Leslie Hartten, Elena Akish, Siri Jodha KhalsaNational Oceanic and Atmospheric Administration (NOAA)

Cooperative Institute for Research in the Environmental Sciences (CIRES)National Snow Ice and Data Center (NSIDC)

For

YOPPsiteMIP – the Year of Polar Prediction site Model Intercomparison Project is capitalizing on the MOSAiC Year

IASOA (International Arctic Systems for Observing the Atmosphere)

Supersites: Suites of instruments measuring variables that lead to process understanding

Models: High frequency column output on model levels at supersites

MIP: Developed Format and Semantics used for both models and observations promoting multimodel and multisite verification and process evaluation

Data: Available through the YOPP Data Portal (yopp.met.no)

Targeted processes: Low level clouds (including phase), Stable boundary layers, Atmosphere-snow interactions over land and sea-ice, Coupling procedures (variables and frequencies), Ocean mixing, …

White Horse

Cape Baranova

Iqaluit

ECCC supersites – soon members of IASOACape Baranova – soon member of IASOAMOSAiC drifting station In addition, Antarctic and Third Pole sites?

Models: DWD, ECCC, ECMWF, FMI, MetNorway,MetOffice, NOAA/NCEP, MeteoFrance, Russian Met, CORDEX, CESM, …

Arctic sitesinitial focus

What is a MODF?Getting all the data from all the sensors from

one location for a finite period into one (netcdf) file that looks just like the

corresponding model output

ARM already figured has done this…….Model Best Estimate (mbe) files – Does YOPP SH need to create corresponding files?https://journals.ametsoc.org/doi/pdf/10.1175/2009BAMS2891.1

https://www.arm.gov/capabilities/vaps/armbe

https://www.archive.arm.gov/discovery/#v/results/s/finst::armbe/fsite::nsa

ARM has updated NSA mbe files through 2018 MODFs will be higher resolution (1 min)

Why are MODFs being developed?The MOSAiC Year Presents an Observing Opportunity

A Common set of Model OutputsImplies the need for a

A Common set of Observation Outputs

However are we going to do that?

A truly holey plan!Data is collected at non-operational research stations which are sometimes and sometimes not co-located with operational weather stations (if not, no consistent meteorology)

Essential variables are established for a wide variety of different mostly) research objectives

Instruments are operated by different countries, organizations and institutions even at the same observatory

A wide community of potential users (gridded data people) want a consistent network product

There is a serious under-estimate and resulting lack of resources for data processing, archiving

A single variable (even something simple like temperature) may be collected redundantly, qc-ed and processed differently and or derived with different retrieval methods so expert selection must made of which value to use – All the data or best estimate data?

Portals require that target repositories have (consistent) metadata

Grant funded research groups tend to embargo (especially processed) data

Global archives (GAW, BSRN, AeroNET, ebas, are for a narrow range of variables) and typically are not up to date

THE DATA AT RESEARCH STATIONS IS INTENDED TO SUPPORT INDIVIDUAL LINES OF RESEARCH LEADING TO AN ENDPOINT OF A PEER REVIEWED RESEARCH PUBLICATIONS

ATTRIBUTION

Data versions (raw, qc’ed, processed, best estimate)

YOPPsiteMIPDataScientists

Metadata

ServicesRepositories

Units

Uncertainties

doi’stime

Click Counts

Variables

Internal formats

Access

embargos

conventions

lineage

definitions

Objective:Research

Objective: Data Stewardship

viewers Processing/QCportals

What is needed What scientists care aboutWhat Data Managers Care About

F.A.I.R

Acknowledgement

• YOPP creates recipe book for creating Merged Observatory and Merged MOSAiC data files (MODF, MMDF)(T-MOSAiC observations in vicinity of YOPP supersite can be incorporated in MODFs)

Promote an advanced level of data usability and interoperability to expedite research and predictive services outcomesand foundational legacy data sets

Observations Team

Modeling Team

Essential coordination between data managers and end users

9

Data Denial Experimentse.g.1935 extra sondes in SOP1

late-2020

YOPPsiteMIP 2018-2020

NWP Prediction Verification will focus on Special Observing Periods (SOPs) – This YOPP NH

Strategy can be applied to YOPP SH

http://cfconventions.org/

The approach is to develop ‘recipes’ for developing MODFs and single cell model outputs with consistent protocols for date/time and location representation, variable names and units, file identification conventions, metadata, and how individuals and institutions will be properly cited and credited.

Building the Merged Observatory Data Files (MODFs) - The YOPP Validation and YOPP Processes Team – NSA is the prototype site since ARM has the most advanced single entity data repository – Suggested YOPP SH prototype site be South Pole

Akish and HarttenSiri Jodha Khalsa

MOSAiC Modeling – Coordinated with YOPPsiteMIP

Can YOPP-SH take advantage of these research strategies?

Solomon

Models Currently Producing Model Time-Step Files for YOPP SuperSites SOP1-NH

• ECMWF – IFS (Global)• ECCC – CAPS Model (Regional)• Centre National de Recherches Météorologiques (France) –

AROME (Regional)• Centre National de Recherches Météorologiques (France) –

ARPEGE Model (Global)

The YOPPsiteMIP enterprise of looking at processes (including tendencies) at model time steps (7.5 min or 15 min) and verifying and comparing with observational data (1 min) will allow:

• Separation of the effects of local and larger transport processes on the Arctic and Antarctic environment

• Investigation of how (and which) fast processes are contributing to accumulating biases in the NWP model forecasts

PROPOSED RESEARCH STRATEGY

The YOPPsiteMIP activity is open to regional and global climate models, as it will be interesting to statistically evaluate the fast physical processes in them as well. We anticipate finding common issues across models, in particular regimes that through analysis can be attributed to certain processes/parameterizations which can then be tackled in community efforts.

Recommended Next Steps for YOPP-SHJoin the YOPPsiteMIP Working Group and the Data Task Team