The Diurnal Cycle of Salinity Kyla Drushka 1, Sarah Gille 2, Janet Sprintall 2 1. Applied Physics Lab, Univ. of Washington 2. Scripps.

Slides:



Advertisements
Similar presentations
Tuning and Validation of Ocean Mixed Layer Models David Acreman.
Advertisements

Observations and Modeling of Rain-Induced Near Surface Salinity Anomalies William Asher, Kyla Drushka, Andrew Jessup Ruth Branch, and Dan Clark Applied.
Upper Ocean Processes in the Indian Ocean associated with the Madden-Julian Oscillation Toshiaki Shinoda (Texas A&M Univ., Corpus Christi), Weiqing Han.
The ocean and the global hydrologic cycle Jim Carton (University of Maryland) Paulo Nobre (INPE) São Paulo Summer School on Global Climate Modeling October,
A thermodynamic model for estimating sea and lake ice thickness with optical satellite data Student presentation for GGS656 Sanmei Li April 17, 2012.
ENSO-Monsoon relationships in current and future climates Andrew Turner, Pete Inness and Julia Slingo The University of Reading Department of Meteorology.
Published in 2007 Cited 15 times Keywords: North Pacific, PDO-related air forcing, Eddy permitting model, Model heat/SST budget analysis.
Modeling of Regional Ocean-Atmosphere Feedback in the Eastern Equatorial Pacific; Tropical Instability Waves Hyodae Seo, Art Miller and John Roads Scripps.
Climatic impacts of stochastic fluctuations in air–sea fluxes Paul Williams Department of Meteorology, University of Reading, UK.
Ocean-atmosphere Coupling over Midlatitude Ocean Fronts 1. Difference between Wind & Stress 2. Signature above Boundary Layer W. Timothy Liu, Xiaosu Xie,
Semyon A. Grodsky and James A. Carton, University of Maryland, College Park, MD The PIRATA (PIlot Research Array moored in the Tropical Atlantic) project.
1 Variability of sea surface temperature diurnal warming Carol Anne Clayson Florida State University Geophysical Fluid Dynamics Institute SSTST Meeting.
What controls the climatological PBL depth? Brian Medeiros Alex Hall Bjorn Stevens UCLA Department of Atmospheric & Oceanic Sciences 16th Symposium on.
The Role of Internally Generated Megadroughts and External Solar Forcing in Long Term Pacific Climate Fluctuations Gerald A. Meehl NCAR.
Mechanisms for Lagged Atmospheric Response to ENSO SST Forcing Hui Su **, J. David Neelin ** and Joyce E. Meyerson * Dept. of Atmospheric Sciences *, Inst.
Interannual Caribbean salinity in satellite data and model simulations Semyon Grodsky 1, Benjamin Johnson 1, James Carton 1, Frank Bryan 2 1 Department.
1 Satellite & In Situ Salinity (SISS) Working Group: Current Status and Future Plans Yi Chao, Co-Chair (Jacqueline Boutin, Co-Chair) Aquarius Science Meeting.
Linking Aquarius Salinity Measurements to River Discharges and Ocean Surface Carbon Dioxide Fugacity Xiaosu Xie and W. Timothy Liu Jet Propulsion Laboratory.
Simulated Sea Surface Salinity Variability in the Tropical Pacific Xiaochun Wang Yi Chao JPL/Caltech Terrain-Following Ocean Models User Workshop Seattle,
Evaporative heat flux (Q e ) 51% of the heat input into the ocean is used for evaporation. Evaporation starts when the air over the ocean is unsaturated.
Southern Ocean Air-Sea Flux Observations Eric Schulz, CAWCR, BoM.
Estimation of the Barrier Layer Thickness in the Indian Ocean using satellite derived salinity Subrahmanyam Bulusu Satellite Oceanography Laboratory Department.
Coupled GCM The Challenges of linking the atmosphere and ocean circulation.
Graduate Course: Advanced Remote Sensing Data Analysis and Application SURFACE HEAT BUDGETS IN THE PACIFIC WARM POOL DURING TOGA COARE Shu-Hsien Chou Dept.
Coupled Climate Models OCEAN-ATMOSPHEREINTERACTIONS.
Air-sea heat fluxes and the dynamics of intraseasonal variability Adam Sobel, Eric Maloney, Gilles Bellon, Dargan Frierson.
Changes in the Seasonal Cycle of Sea Surface Salinity from Jim Reagan 1,2, Tim Boyer 2, John Antonov 2,3, Melissa Zweng 2 1 University of Maryland.
P. N. Vinayachandran Centre for Atmospheric and Oceanic Sciences (CAOS) Indian Institute of Science (IISc) Bangalore Summer.
EPIC 2001 SE Pacific Stratocumulus Cruise 9-24 October 2001 Rob Wood, Chris Bretherton and Sandra Yuter (University of Washington) Chris Fairall, Taneil.
Southern Ocean Surface Measurements and the Upper Ocean Heat Balance Janet Sprintall Sarah Gille Shenfu Dong Scripps Institution of Oceanography, UCSD.
Diurnal Variations of Tropical Convection Ohsawa, T., H. Ueda, T. Hayashi, A. Watanabe, and J. Matsumoto, 2001 : Diurnal Variations of Convective Activity.
Volcanic Climate Impacts and ENSO Interaction Georgiy Stenchikov Department of Environmental Sciences, Rutgers University, New Brunswick, NJ Thomas Delworth.
Regional Air-Sea Interactions in Eastern Pacific 6th International RSM Workshop Palisades, New York July 11-15, th International RSM Workshop Palisades,
Regional Scale Variability in Eastern Pacific: Relevance to SPURS-2 Campaign Janet Sprintall, Scripps Institution of Oceanography MoorSPICE Cruise, Solomon.
Danielle Niles & Steven Martinaitis Physics of the Air-Sea Boundary Layer OCP 5551 Dr. Mark Bourassa The Florida State University.
Observations and Parameterization of Boundary Layer Structures and Clouds at the ARM TWP Nauru Site Bruce Albrecht, Virendra Ghate, and Dan Voss 1 Pavlos.
A continental gravity wave influence on remote marine SE Pacific cloud Robert Wood 1, Christopher Bretherton 1, Peter Caldwell 1, Martin Köhler 2, Rene.
Eastern WP Gap winds April 2013 Dec 2013 SST warmest coldest Local gap wind effect Regional conditions, comments by Gordon and Sprintall SST 6 April 2014.
Marine Stratus and Its Relationship to Regional and Large-Scale Circulations: An Examination with the NCEP CFS Simulations P. Xie 1), W. Wang 1), W. Higgins.
Sea Surface Salinity as Measured by SMOS and by Surface Autonomous Drifters: Impact of Rain J. Boutin, N. Martin, X. Yin, G. Reverdin, S. Morrisset LOCEAN,
Diurnal Cycle of the Atmospheric Mixed Layer during DYNAMO/CINDY/AMIE
1 Using Satellite Data for Climate Modeling Studies: Representing Ocean Biology-induced Feedback Effect in the Tropical Pacific Rong-Hua Zhang CICS-ESSIC,
An evaluation of satellite derived air-sea fluxes through use in ocean general circulation model Vijay K Agarwal, Rashmi Sharma, Neeraj Agarwal Meteorology.
Investigation of Mixed Layer Depth in the Southern Ocean by using a 1-D mixed layer model Chin-Ying Chien & Kevin Speer Geophysical Fluid Dynamics Institute,
Typical Distributions of Water Characteristics in the Oceans.
Mixed Layer Ocean Model: Model Physics and Climate
Mixed-layer processes A short course on: Modeling IO processes and phenomena INCOIS Hyderabad, India November 16−27, 2015 Thanks to P. N. Vinaychandran.
Impact of wind-surface current covariability on the Tropical Instability Waves Tropical Atlantic Meeting Paris, France October 18, 2006 Tropical Atlantic.
Some GOTM Physics SOPRAN GOTM School Warnemünde: Hans Burchard Baltic Sea Research Institute Warnemünde, Germany.
Chelle L. Gentemann & Peter J. Minnett Introduction to the upper ocean thermal structure Diurnal models M-AERI data Examples of diurnal warming Conclusions.
An evaluation of a hybrid satellite and NWP- based turbulent fluxes with TAO buoys ChuanLi Jiang, Kathryn A. Kelly, and LuAnne Thompson University of Washington.
Ocean Climate Simulations with Uncoupled HYCOM and Fully Coupled CCSM3/HYCOM Jianjun Yin and Eric Chassignet Center for Ocean-Atmospheric Prediction Studies.
A new look at – Tropical Mid-Troposphere Clouds P. Zuidema, B. Mapes, J. Lin, C. Fairall P. Zuidema, B. Mapes, J. Lin, C. Fairall CIRES/CDC NOAA/ETL Boulder,
Sources of global warming of the upper ocean on decadal period scales Warren B. White 2010/05/18 Pei-yu Chueh.
Evaluation of HYCOM Upper Ocean Mixing Parameterizations S. Daniel Jacob 1, Lynn K. Shay 2, George R. Halliwell 2 and David Le Vine 3 1 GEST, UMBC/ NASA.
Interannual Variability (Indian Ocean Dipole) P. N. Vinayachandran Centre for Atmospheric and Oceanic Sciences (CAOS) Indian Institute of Science (IISc)
MICHAEL A. ALEXANDER, ILEANA BLADE, MATTHEW NEWMAN, JOHN R. LANZANTE AND NGAR-CHEUNG LAU, JAMES D. SCOTT Mike Groenke (Atmospheric Sciences Major)
UNDERSTANDING OCEAN SALINITY
SPURS Synthesis Research Objectives: Budget calculations Resolve important terms of the freshwater and heat budgets of the upper 1000 m on temporal scales.
Chelle L. Gentemann Peter J. Minnett Brian Ward Refinement of bulk model M-AERI data Observed diurnal warming Conclusions Profile of Ocean Surface Heating:
Testing of the Zeng and Beljaars scheme in the TWP Michael Brunke and Xubin Zeng Department of Atmospheric Sciences The University of Arizona Tucson, Arizona.
Diurnal Variations in Near-Surface Salinity Kyla Drushka 1, Sarah Gille 2, Janet Sprintall 2 1. Applied Physics Lab, Univ. of Washington.
Precipitation Effects on Turbulence and Salinity Dilution in the Near Surface Ocean Christopher J. Zappa Lamont-Doherty Earth Observatory, Columbia University,
Intraseasonal latent heat flux based on satellite observations
Mark A. Bourassa and Qi Shi
COAPS, Florida State University
Roles of Banda Sea to air-sea interaction over Indonesia, the existing oceanographic measurements and future plans of oceanographic observatories in the.
Operational Oceanography OC/MR3570 William Swick
Ming-Dah Chou Department of Atmospheric Sciences
Volcanic Climate Impacts and ENSO Interaction
Presentation transcript:

The Diurnal Cycle of Salinity Kyla Drushka 1, Sarah Gille 2, Janet Sprintall 2 1. Applied Physics Lab, Univ. of Washington 2. Scripps Inst. of Oceanography Aquarius Science Team Meeting 12 November 2014

day night thin, warm mixed layer (traps atmospheric fluxes) deep, cool mixed layer surface cooling, overturning, mixing Diurnal variations in solar radiation affect SST, mixing, etc. – can improve climate modeling of air-sea processes …Do diurnal salinity variations matter? e.g. in regions where salinity controls mixed-layer depth

Aquarius mean ascending–descending difference: (V3.0 CAP L2 data, 3-yr average, 2 o bins) 0.5 psu –0.5 Ascending = evening, descending=morning Does diurnal salinity account for any of this signal?

Diurnal salinity from TAO buoy data at 1 m depth 156E,2N 1-m salinity Hour of day (local time) *showing two cycles – psu ±0.006 psu 1. One year of hourly data 2. high-pass filter 3. bin by hour of day Nighttime salinity increase (max S at 8am) Daytime freshening (min S at 3pm)

Diurnal salinity at all TAO moorings: Diurnal salinity amplitude (psu) E 120E 180E 120W 60W0 60E 0 15N 15S

Aquarius ascending–descending salinity >> 1-m diurnal salinity 0.5 –0.5 Diurnal salinity amplitude (psu) E 120E 180E 120W 60W0 60E 0 15N 15S Diurnal salinity at all TAO moorings:

Diurnal salinity decays with depth. Open question: how much? depth Diurnal salinity

precipitation evaporation entrainment Salinity at 1-m (buoy) depth ≈ advection assume h p ~3m assume h E ~1m negligible h = mixed-layer depth

Total ∆S: ±0.006 psu hour (local time) mm/hr – – –4 0 – psu mm/hr m precipitation –0.004 psu evaporation psu entrainment psu Estimated contributions: 1-m salinity precipitation evaporation mixed-layer depth deeper 156E,2N

– Diurnal salinity amplitude (psu) R = 0.89 slope = 0.6 ± 0.2 R = 0.73 slope = 0.06 ± 0.03 R = 0.91 slope = 0.3 ± Observed ∆S, psu Precipitation contribution, psu Evaporation contribution, psu Entrainment contribution, psu Precipitation & entrainment consistently dominate diurnal salinity 60E 120E 180E 120W 60W0 60E 0 15N 15S

Where diurnal salinity is expected to be strong: 60E 120E 180E 120W 60W 060E 0 30N 30S 0 30N 30S Diurnal rain rate amplitude (TRMM 3-hrly data) Climatological "stratification strength" (∆S/h) from the MIMOC product, an Argo-based climatology diurnal rain rate, mm/hr psu/m x Observed diurnal salinity Diurnal salinity amplitude (psu) E 120E 180E 120W 60W0 60E 0 15N 15S

Recap 1.Diurnal salinity at 1-m depth is small but significant 2.Rain drives diurnal salinity. Entrainment sets the phase. 3.Ascending–descending Aquarius differences are much bigger than 1-m diurnal salinity – but: 1cm signal is likely larger than 1m signal, so diurnal salinity could still affect Aquarius

What we need to know to understand if diurnal salinity affects Aquarius: 1. What is the thickness / salinity anomaly of fresh pools? 2. How does salinity decay with depth in the upper few meters? …1-d modeling Diurnal salinity

Generalized Ocean Turbulence Model (GOTM) (Burchard & Bolding 2001, 1-d model: – 2-parameter k-ε turbulence closure scheme – forced with hourly TAO observations (shortwave flux, wind, rain) – T and S profiles initialized once per day (at sunrise) – COARE bulk formula – surface wave-breaking (Burchard, 2001) and internal wave parameterizations (Large et al., 1994) – <5cm resolution within the top 5m (<30cm within the mixed layer) – 1-min time step – has been used for diurnal/surface layer studies (e.g., Jeffery et al., 2008; Pimental et al., 2008)

Validation: GOTM vs TAO Forcing: Precipitation mm/hr oCoC 30 Model Observation (TAO) Model Observation (TAO) psu Sept 21 Sept 1-m temperature 1-m salinity Fresh events captured (R 2 =0.77 over 8-month run) Diurnal warming well reproduced (R 2 =0.89 over 8-month run)

Lens formation under rain with GOTM Idealised rain (Gaussian pulse) + wind (sinusoid) 0 15 mm/hr 0 6 m/s 0 20 z, m psu wind speed (4±1 m/s) 10 rain rate (peak 5mm/hr) 5 salinity anomaly relative to no-rain case 00:00 06:00 12:00 18:00 psu salinity anomaly at z=1 m Local time

Varying the strength of rain Rain rate affects: – Strength of salinity anomaly – Lens thickness (h p ) Weaker rain (2 mm/hr) 0 15 mm/hr z, m :00 06:00 12:00 18:00 m/s Stronger rain (10 mm/hr) 00:00 06:00 12:00 18: psu S' 1m S', psu rain rate wind speed

Varying the strength of wind 0 15 mm/hr z, m :00 06:00 12:00 18:00 m/s 00:00 06:00 12:00 18: psu S' 1m S', psu Weaker wind (5 m/s) Stronger wind (10 m/s) Wind speed controls: – Strength of salinity anomaly – Duration of salinity anomaly rain rate wind speed

Strongest salinity anomalies when: 00:00 12:00 06:00 18:00 Hour of peak wind Magnitude of salinity anomaly, psu – rain coincides with weak winds – surface mixed layer is thin (mid-day) 12:0006:00 18:00 Hour of peak rain

Summary TAO mooring data show a significant, weak diurnal salinity cycle driven by rain + entrainment (Drushka et al., JGR, 2014) Observed diurnal ∆S Precipitation contribution Evaporation contribution Entrainment contribution wind weak rain strong weak strong A 1-d turbulence model shows that wind & rain strength significantly affects lens formation & salinity anomaly

References Bernie, D., E. Guilyardi, G. Madec, J. Slingo, and S. Woolnough "Impact of resolving the diurnal cycle in an ocean-atmosphere GCM. Part 1: A diurnally forced OGCM." Clim. Dyn., 29(6), 575–590, doi: /s Burchard, Hans, and Karsten Bolding “Comparative Analysis of Four Second-Moment Turbulence Closure Models for the Oceanic Mixed Layer.” Journal of Physical Oceanography 31 (8): 1943–68. doi: / (2001) CO;2. Cronin, M. F., and M. J. McPhaden "Diurnal cycle of rainfall and surface salinity in the western Pacific warm pool." Geophys. Res. Lett., 26(23), 3465–3468. Fairall, C. W., E. F. Bradley, D. P. Rogers, J. B. Edson, and G. S. Young “Bulk Parameterization of Air-Sea Fluxes for Tropical Ocean-Global Atmosphere Coupled-Ocean Atmosphere Response Experiment.” Journal of Geophysical Research: Oceans 101 (C2): 3747–64. doi: /95JC Jeffery, C. D., I. S. Robinson, D. K. Woolf, and C. J. Donlon “The Response to Phase-Dependent Wind Stress and Cloud Fraction of the Diurnal Cycle of SST and Air–sea CO2 Exchange.” Ocean Modelling 23 (1–2): 33–48. doi: /j.ocemod Pimentel, S., K. Haines, and N. K. Nichols “Modeling the Diurnal Variability of Sea Surface Temperatures.” Journal of Geophysical Research: Oceans 113 (C11): C doi: /2007JC