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The case of polar lows Hans von Storch 13 and Matthias Zahn 2 1. Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Germany. 2. Environmental Systems Science Center, University of Reading, Reading, UK 3. KlimaCampus, University of Hamburg, Hamburg, Germany.

The case of polar lows Hans von Storch 13 and Matthias Zahn 2 1. Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Germany. 2. Environmental

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Page 1: The case of polar lows Hans von Storch 13 and Matthias Zahn 2 1. Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Germany. 2. Environmental

The case of polar lows

Hans von Storch13 and Matthias Zahn2

1. Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Germany.

2. Environmental Systems Science Center, University of Reading, Reading, UK

3. KlimaCampus, University of Hamburg, Hamburg, Germany.

Page 2: The case of polar lows Hans von Storch 13 and Matthias Zahn 2 1. Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Germany. 2. Environmental

© Dundee Satellite Receiving Station

~300 km

Scan

din

avia

Spitz-

bergen

Polar lows

mesoscale (< 1000 km) sized maritime storms

●intense/ strong winds (>13.9 m/s) severe weather

●occur poleward the Polar Fronts in both hemispheres during winter

●typically induced by disturbances in the air flow

●typically driven by convective processes

●Here: only Northern North Atlantic

Page 3: The case of polar lows Hans von Storch 13 and Matthias Zahn 2 1. Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Germany. 2. Environmental

For the recent past• Dataset of polar low cases• Comprehensive measurements required• long in time• high in spatial detail• Homogeneous• Problem: Such analyses do usually no exist

Solution: Use of a numerical model (Regional Climate Model, RCM) in combination with existing global data to reconstruct past/project future state of the atmosphere

Long-term climatologyand future perspectives

Global data(~200 km)

RCM(~50 km)

dynamical downscaling

Page 4: The case of polar lows Hans von Storch 13 and Matthias Zahn 2 1. Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Germany. 2. Environmental

Set-up of multi-decadal simulation

NCEP/NCAR reanalysis 1/ CLM 2.4.6

Initialised: 1.1.1948 finishing: 28.2.2006

spectral nudging of scales > 700 km

Page 5: The case of polar lows Hans von Storch 13 and Matthias Zahn 2 1. Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Germany. 2. Environmental

Dec 1993 case

Weatherchart, DWD

CLM22-snCLM22-nn

NCEP

CLM22-sn, filtered

Dundee9.12.93, 16:00

Iceland

Greenland

Page 6: The case of polar lows Hans von Storch 13 and Matthias Zahn 2 1. Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Germany. 2. Environmental

Jan 1998 case

CLM01-sn, filtered

Berliner Weatherchart

CLM01-sn

Dundee18.1.98, 4:00

CLM01-nn

NCEP

Page 7: The case of polar lows Hans von Storch 13 and Matthias Zahn 2 1. Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Germany. 2. Environmental

• In principle, polar lows are reproduced with CLM run in climate mode

• Deviations in detail (e.g. location and amount of pressure minima)

• Spectral nudging inhibits considerable ensemble variability

• A digital filter could be useful for an automatic detection

• Zahn, M., H. von Storch, and S. Bakan, 2008: Climate mode simulation of North Atlantic Polar Lows in a limited area model, Tellus A, DOI: 10.1111/j.1600-0870.2008.00330.x

Polar low simulation and detection

Page 8: The case of polar lows Hans von Storch 13 and Matthias Zahn 2 1. Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Germany. 2. Environmental

1st : detection of minima in the filtered mslp fields (< -1hPa)2nd : combine detected positions to individual tracks, distance to next (3h) position < 200 km3rd : Either checking further constraints along the tracks:

Detection algorithm

• strength of the minimum ( ≤ −2hPa once along the track) • wind speed ( ≥ 13.9 m/s once along the track) • air-sea temperature difference ( SST − T500hPa ≥ 43K) • north south direction of the track • limits to allowable adjacent grid boxes

or: strength of the minimum in the bandpass filtered mslp field decreases below −6hPa once

Page 9: The case of polar lows Hans von Storch 13 and Matthias Zahn 2 1. Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Germany. 2. Environmental

Annual frequency of past polar lows

PLS: Polar Low Season (Jul-Jun) Zahn and von Storch, 2008,

Page 10: The case of polar lows Hans von Storch 13 and Matthias Zahn 2 1. Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Germany. 2. Environmental

=13σMean:56

Max:100

Min:36

Annual frequency of past polar lows

Zahn and von Storch, 2008,PLS: Polar Low Season (Jul-Jun)

Page 11: The case of polar lows Hans von Storch 13 and Matthias Zahn 2 1. Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Germany. 2. Environmental

Downscaling vs. “obs”

C=0,72

NCEP-based downscaling (black) and observations (red) of MetNo (Noer, pers comm)Monthly comparison of NCEP-

downscaling (in black) with analysed observed data (in red; Blechschmidt, 2008)

Page 12: The case of polar lows Hans von Storch 13 and Matthias Zahn 2 1. Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Germany. 2. Environmental

Bracegirdle, T. J. and S. L. Gray, 2008

Density of polar low genesis

Genesis in NCEP downscaling RCM simulation

Page 13: The case of polar lows Hans von Storch 13 and Matthias Zahn 2 1. Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Germany. 2. Environmental

Past occurrence – summary

● Northern North Atlantic

● Polar Lows are simulated by 50 km grid resolution model (not shown)

● Strong inter annual variability

● Frequency remains on a similar level – no systematic trend

● Qualitative similarity with observations in terms of inter-annual, intra-annual variations and spatial distribution of genesis / other studies

● Zahn, M., and H. von Storch, 2008: A longterm climatology of North Atlantic Polar Lows. Geophys. Res. Lett., 35, L22702, doi:10.1029/2008GL035769

Page 14: The case of polar lows Hans von Storch 13 and Matthias Zahn 2 1. Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Germany. 2. Environmental

Polar lows in IPCC-climate change scenarios

Global scenario data generated by IPCC-ECHAM5-MPI-OM in C20-experiments: (“control” with GHG 1960-1990) and B1,A1B,A2-scenarios for period 2070-2100.

Dynamically downscaled using CLM.

Page 15: The case of polar lows Hans von Storch 13 and Matthias Zahn 2 1. Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Germany. 2. Environmental

Zahn and von Storch, 2010

Number of polar lows per PLS

Page 16: The case of polar lows Hans von Storch 13 and Matthias Zahn 2 1. Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Germany. 2. Environmental

Spatial density distribution: northward shift of genesis region

C20, mean lat = 64,9°N B1, mean lat = 66,8°N

A1B, mean lat = 66,8°N A2, mean lat = 67,3°N

Page 17: The case of polar lows Hans von Storch 13 and Matthias Zahn 2 1. Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Germany. 2. Environmental

Projected changes in polar low frequency and vertical atmospheric stability

A2

C20

A1BB1

Zahn and von Storch, 2010

Differences of the area and time-averaged ice-free SST and T500-hPa over the maritime northern North Atlantic as proxy for frequency of favourable polar low conditions (CMIP3/IPCC AR4)

Page 18: The case of polar lows Hans von Storch 13 and Matthias Zahn 2 1. Institute of Coastal Research, Helmholtz-Zentrum Geesthacht, Germany. 2. Environmental

● Polar lows become less frequent in the Northern North Atlantic as supported by

● regional modelling (downscaling) control and scenario simulations with one GCM, and by

● analysis of vertical stability in a large set of (CMPI3) global climate simulations; all simulations show a increase in projected stability.

● The genesis regions shift northward.

● Zahn, M., and H. von Storch, 2010: Decreased frequency of North Atlantic polar lows associated to future climate warming, nature 467, 309-312

Projected occurrence – summary