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Resolving Surface Currents and Heat Advection with the Global Drifter Array. Rick Lumpkin. Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration. NOAA Climate Observation Program 3 rd Annual System Review April 25-27, 2005.

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Resolving surface currents and heat advection with the global drifter array
Resolving Surface Currents and Heat Advection with the Global Drifter Array

Rick Lumpkin

Atlantic Oceanographic and Meteorological Laboratory,

National Oceanic and Atmospheric Administration

NOAA Climate Observation Program

3rd Annual System Review

April 25-27, 2005


1 what we can resolve
1. What we can resolve Global Drifter Array


Time mean currents

75% of 1 Global Drifter Array°1°bins!

Time-mean currents


Seasonal variations of sst
Seasonal variations of SST Global Drifter Array




Mean heat advection
Mean heat advection Global Drifter Array

SST gradient (°C per degree)

Mean heat advection, upper 30m (W/m2)


Advection of sst anomalies
Advection of SST anomalies Global Drifter Array

W/m2

Anomalous heat advection, upper 30m (W/m2)


Surface current anomalies

378 drogued Global Drifter Array

Surface current anomalies


2 what we aren t resolving
2. What we aren’t resolving Global Drifter Array

(Drifters alone: any process happening in data gaps)



Evaluating the drifter array
Evaluating the drifter array Global Drifter Array

SST: GOOS evaluated by NOAA/NCDC

SURFACE CURRENTS

Accuracy: 2 cm/s

Resolution: 600 km

Number of measurements per month: 1

From Needler et al. 1999: Action plan for GOOS/GCOS and Sustained Observations for CLIVAR.


Evaluating the drifter array1
Evaluating the drifter array Global Drifter Array


Before and after
Before and after Global Drifter Array


3 how can we improve
3. How can we improve? Global Drifter Array


Predicting the array
Predicting the array Global Drifter Array


Predicting the array1
Predicting the array Global Drifter Array



Oscar

170 winds)ºE-130ºW, 10ºS-10ºN

OSCAR

Pilot project for a NOAA/NESDIS Operational Surface Current Processing and Data Center

(F. Bonjean, J. Gunn, G. Lagerloef, E. Johnson)


Aviso

AVISO Altimetry product winds)

Collecte Localisation Satellites (CLS)

Topex/Poseidon, Jason-1, ERS-1 and ERS-2

Aviso


U(t)=U + A u’(t) winds)

Absolute speed (m/s)

Drifters+wind, altimetry

altimeter

(methodology of Niiler et al., 2003)


Large rossby number flow

L winds)

pg

Coriolis

centrifugal

H

Cor

pg

centrifugal

H

L

large Rossby number flow

(centrifugal) (Coriolis) (Pressure gradient)

If we ignore centrifugal

(assume geostrophy), we:

Underestimate Coriolis

(underestimate v)

Overestimate Coriolis

(overestimate v)


Drifters calibrating satellite ssv

1 0.5 0 winds)

Drifters: calibrating satellite SSV


Drifters in situ calibration to reduce global bias in satellite ssv
Drifters: in-situ calibration winds)to reduce global bias in satellite SSV

R. Lumpkin and G. Goni, NOAA/AOML


Summary global drifter array
Summary: Global Drifter Array winds)

  • What we can resolve:

    • <U>, <SST>, <U>·<SST>,

    • U(x,t) where coverage is sufficient

    • mean eddy statistics

    • Drifter SST(x, t): cal/val of satellite products

    •  <U>· SST’

  • What we can’t resolve:

    • Anything in the “data holes”

    • U(x,t) at sufficient resolution for time series

    • of eddy fluxes

  • What we can do about this:

    • Plan ahead: anticipate gaps

    • Synthesize drifters, winds and altimetry for

      • operational surface currents

    • Drifter U(x,t) cal/val of satellite products

[email protected]


fin winds)



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