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Short-term climate variability - Dynamics and Processes

Research on large-scale and synoptic-scale processes governing atmospheric variability, characterization of intra-seasonal phenomena and extreme events, assessment of forecast tools' predictability.

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Short-term climate variability - Dynamics and Processes

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  1. P2.3 Short-term climate variability - Dynamics and Processes Huw C. Davies, Conny Schwierz, Mischa Croci-Maspoli, Olivia Martius, Harald Sodemann Detailed Research Results and Objectives of Phase 2 • Identification of the large-scale and synoptic-scale processes governing intra- and interannual atmospheric variability (e.g. NAO/NAM, blocking) • Characterization of the climatological properties of intra-seasonal phenomena in past, current and putative future climate. • Characterization of the properties of upper-level wave propagation and wave-breaking. • Assessment of the key processes and the upstream conditioning of extreme events (EEs). • tentative: Assessment of the predictablity of extant forecast tools in representing intra-seasonal phenomena and extreme events.

  2. Tropopause height anomaly Blocking Detection and Indices SLP anomaly dipole and Z500 ridge  Definition of detection indices

  3. Blocking Detection and Indices [hPa] 150 500 800 tropopause PV=2 Geopotential anomaly Potential Vorticity (PV) anomaly • 3dim PV-Index Schwierz et al., 2004, GRL

  4. PV Blocking climatology DJF (ERA40) APV APV* 13% 10% 5% 1% 1.6% 1.3% 0.7% 0.1% 476 events  3.5 per month 116 events  0.9 per month Schwierz et al., GRL, 2004 Scherrer et al., 2005, submitted Maspoli et al., 2005, to be submitted

  5. PV Blocking climatology DJF (ERA40) neg pos NAO phases neg pos PNA phases

  6. Atmospheric Blocking Trend (ERA40) Dec 1958 linear trend evolution Feb 2002

  7. Atlantic Blocking and NAO phase Collaboration with P2.5 NAO+ NAO- AGP (Z500) mean tropopause height, significant areas APV* (PV)

  8. Blocking relation to EOF2 and EOF3 EOF2+ EOF2 - APV* (PV) EOF3+ EOF3 -

  9. tropopause PV-streamer Alps sea sea wind field Heavy Alpine Precipitation Case studies (e.g. Massacand et al., 1998): PV streamers associated with heavy Alpine precipitation NCCR: ERA40 streamer climatology and 1966-1999 rain obs climatology Linkage of most extreme (1%) precipitation with PV streamers  Are there precursors for heavy precipitation ?

  10. Climatological link between upper-level PV-streamers and heavy precipitation along the Alpine south-side (AS) [%] 33-yr composite of heavy precip PV-streamers On 73% of the most extreme 1% AS-precipitation days, a PV-streamer is present over western Europe (85% for autumn events) Martius et al., 2005, submitted

  11. Presence of a streamer influences the precipitation probability distribution Intensity of rainfall likely to be higher in presence of an upper-level streamer: e.g. relative increase of probability for 20mm/d by 70% solid: climatological precipitation distribution dashed: precipitation on streamer days dotted: precipitation on no-streamer days

  12. Streamer orientation and precipitation in Swiss valleys Streamers associated with extreme rain in the different subregions have a distinct location and orientation: Ticino: LC1 Grisons: LC1, meridional Valais: LC2 LC1: anti-cyclonic orientation LC2:cyclonic orientation Mer: meridional orientation Rest: no distinct orientation determinable

  13. Anomalous hemispheric isentropic PV distribution on heavy precipitation days Summer (Apr – Sept) Winter (Oct - Mar)

  14. ERA40 climatology of Rossby waves • Phase velocities • Group velocities • Wave lengths • Wave train extension Wave breaking linked to PV streamers and often causes heavy weather  Climatological use of Hovmöller evaluations 180W 180E

  15. Wave composites – HP precursors (95% sig.) Winter Summer Time [d] - 6d - 12d 180W 180E 180W 180E • background: wave anomaly (k~5) • precursor RW short • no coherent phasing before D=-1  „in-situ“ streamer development • steepened PV gradient • precursor RW longer • coherent phasing until D=-8 • Upstream wave precursor

  16. October 2000 March 2000 Collaboration with WP1 Sodemann et al., ACPD, 2005, submitted Saharan dust in an ice core

  17. Moisture uptake regions NAO + NAO - 100 % 50 0 Precipitation (contours: 10, 20, 40, 60, 80 %) SST uptakes # 284.33K NAO- NAO+ 278.89K [K]

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