NSW Ocean Water Levels

Similar documents
New Zealand Climate Update No 223, January 2018 Current climate December 2017

Percentage of normal rainfall for August 2017 Departure from average air temperature for August 2017

New Zealand Climate Update No 222, November 2017 Current climate November 2017

Current and future climate of the Cook Islands. Pacific-Australia Climate Change Science and Adaptation Planning Program

2013 ATLANTIC HURRICANE SEASON OUTLOOK. June RMS Cat Response

Mid-season Storm Surge Update: December, 2013

New Zealand Climate Update No 221, October 2017 Current climate October 2017

New Zealand Climate Update No 226, April 2018 Current climate March 2018

IT S TIME FOR AN UPDATE EXTREME WAVES AND DIRECTIONAL DISTRIBUTIONS ALONG THE NEW SOUTH WALES COASTLINE

8.1.2 Climate Projections

Fire Weather Drivers, Seasonal Outlook and Climate Change. Steven McGibbony, Severe Weather Manager Victoria Region Friday 9 October 2015

PRMS WHITE PAPER 2014 NORTH ATLANTIC HURRICANE SEASON OUTLOOK. June RMS Event Response

MPACT OF EL-NINO ON SUMMER MONSOON RAINFALL OF PAKISTAN

Current and future climate of Vanuatu. Pacific-Australia Climate Change Science and Adaptation Planning Program

lecture 11 El Niño/Southern Oscillation (ENSO) Part II

Rainfall declines over Queensland from and links to the Subtropical Ridge and the SAM

Percentage of normal rainfall for April 2018 Departure from average air temperature for April 2018

Chapter 3 East Timor (Timor-Leste)

Climate Outlook through 2100 South Florida Ecological Services Office Vero Beach, FL January 13, 2015

Australian Mean Sea Level Survey 2009 National Tidal Centre Bureau of Meteorology

Climate Risk Profile for Samoa

NIWA Outlook: March-May 2015

Analysis of Fall Transition Season (Sept-Early Dec) Why has the weather been so violent?

NIWA Outlook: April June 2019

Name: Date: Hour: Comparing the Effects of El Nino & La Nina on the Midwest (E4.2c)

THE PACIFIC DECADAL OSCILLATION (PDO)

Will a warmer world change Queensland s rainfall?

Chart Discussion: Fri-24-Aug-2018 (Harvey Stern) Last Week s Rainfall

ALASKA REGION CLIMATE OUTLOOK BRIEFING. December 22, 2017 Rick Thoman National Weather Service Alaska Region

Climate Outlook through 2100 South Florida Ecological Services Office Vero Beach, FL September 9, 2014

The South Eastern Australian Climate Initiative

Climate Variability. Andy Hoell - Earth and Environmental Systems II 13 April 2011

Trends in Climate Teleconnections and Effects on the Midwest

Climate Change Impacts on the Marine Environment

Ocean in Motion 7: El Nino and Hurricanes!

August Forecast Update for Atlantic Hurricane Activity in 2012

Sea Level Variability in the East Coast of Male, Maldives

Regional overview Autumn 2016

A MID-SHELF, MEAN WAVE DIRECTION CLIMATOLOGY FOR SOUTHEASTERN AUSTRALIA, AND ITS RELATIONSHIP TO THE EL NIÑO SOUTHERN OSCILLATION SINCE 1878 A.D.

The Pennsylvania Observer

El Niño: How it works, how we observe it. William Kessler and the TAO group NOAA / Pacific Marine Environmental Laboratory

Personal Submission to the Senate Committee on Recent Trends in and Preparedness for Extreme Weather Events. Dr Ian R.G. Wilson

Was the Amazon Drought of 2005 Human-Caused? Peter Cox Met Office Chair in Climate System Dynamics. Outline

ATMOSPHERIC MODELLING. GEOG/ENST 3331 Lecture 9 Ahrens: Chapter 13; A&B: Chapters 12 and 13

Current and future climate of the Marshall Islands. Pacific-Australia Climate Change Science and Adaptation Planning Program

Chart Discussion: Fri-09-Nov-2018 (Harvey Stern) Chart Discussion Latest Chart & SAT PIC

Climate Variability and Change Past, Present and Future An Overview

The Climate System and Climate Models. Gerald A. Meehl National Center for Atmospheric Research Boulder, Colorado

8.1 Attachment 1: Ambient Weather Conditions at Jervoise Bay, Cockburn Sound

Climate briefing. Wellington region, May Alex Pezza and Mike Thompson Environmental Science Department

NIWA Outlook: October - December 2015

the 2 past three decades

La Niña impacts on global seasonal weather anomalies: The OLR perspective. Andrew Chiodi and Ed Harrison

Summary report for Ruamāhanga Whaitua Committee The climate of the Ruamāhanga catchment

UPDATE OF REGIONAL WEATHER AND SMOKE HAZE (February 2018)

Climate Change Impacts, Adaptation and Vulnerability: Small Islands - South West Pacific

Introduction to Meteorology & Climate. Climate & Earth System Science. Atmosphere Ocean Interactions. A: Structure of the Ocean.


Name Date Class. growth rings of trees, fossilized pollen, and ocean. in the northern hemisphere.

Different impacts of Northern, Tropical and Southern volcanic eruptions on the tropical Pacific SST in the last millennium

THE OPEN UNIVERSITY OF SRI LANKA

VARIABILITY OF SOUTHEASTERN QUEENSLAND RAINFALL AND CLIMATE INDICES

Coupling of Wave and Hydrodynamic Models for Predicting Coastal Inundation: A case study in Jakarta and Semarang

Weather and Climate Summary and Forecast August 2018 Report

Variability of southeast Queensland rainfall and climate indices

ENSO and April SAT in MSA. This link is critical for our regression analysis where ENSO and

EL NIÑO/LA NIÑA UPDATE

UPDATE OF REGIONAL WEATHER AND SMOKE HAZE (December 2017)

Forced and internal variability of tropical cyclone track density in the western North Pacific

Agricultural Outlook Forum Presented: February 17, 2006 THE SCIENCE BEHIND THE ATLANTIC HURRICANES AND SEASONAL PREDICTIONS

KUALA LUMPUR MONSOON ACTIVITY CENT

Storms. 3. Storm types 4. Coastal Sectors 5. Sorm Location and Seasonality 6. Storm Severity 7. Storm Frequency and grouping 8. The design storm event

Winds and Global Circulation

Issued by the: Climate Services Division Fiji Meteorological Service Nadi Airport. 27 October 2010 GENERAL STATEMENT

Initialized decadal climate predictions focusing on the Pacific Gerald Meehl

Current and future climate of the Solomon Islands. Pacific-Australia Climate Change Science and Adaptation Planning Program

Climate Outlook and Review Focus on sugar industry requirements. Issued 1 October Roger C Stone

Name: Climate Date: EI Niño Conditions

Forum on Climate Change Noosa, July 2015 Exposing the myths of climate change

Interrelationship between Indian Ocean Dipole (IOD) and Australian Tropical Cyclones

11/24/09 OCN/ATM/ESS The Pacific Decadal Oscillation. What is the PDO? Causes of PDO Skepticism Other variability associated with PDO

Stefan Liess University of Minnesota Saurabh Agrawal, Snigdhansu Chatterjee, Vipin Kumar University of Minnesota

Climate outlook, longer term assessment and regional implications. What s Ahead for Agriculture: How to Keep One of Our Key Industries Sustainable

Weather & Ocean Currents

Modelling Coastal Environments Professional Consulting Services Coastal Inundation Tsunamis Coastal Hazard Adaptation Strategies Coastal Processes

Topic 3.2: Tropical Cyclone Variability on Seasonal Time Scales (Observations and Forecasting)

North Pacific Climate Overview N. Bond (UW/JISAO), J. Overland (NOAA/PMEL) Contact: Last updated: September 2008

A global slowdown of tropical-cyclone translation speed and implications for flooding

UPDATE OF REGIONAL WEATHER AND SMOKE HAZE (September 2017)

Semiblind Source Separation of Climate Data Detects El Niño as the Component with the Highest Interannual Variability

UNDERSTANDING STORM TIDES

Climate Outlook for March August 2017

EL NIÑO/LA NIÑA UPDATE

Highlight: Support for a dry climate increasing.

Weather and Climate Summary and Forecast Summer 2017

GPC Exeter forecast for winter Crown copyright Met Office

APPENDIX B PHYSICAL BASELINE STUDY: NORTHEAST BAFFIN BAY 1

THE SYNERGY OF HISTORY AND EL NIÑO SOUTHERN OSCILLATION FOR ENHANCED DROUGHT AND FLOOD MANAGEMENT

Projected Impacts of Climate Change in Southern California and the Western U.S.

EL NIÑO/LA NIÑA UPDATE

Transcription:

NSW Ocean Water Levels B Modra 1, S Hesse 1 1 Manly Hydraulics Laboratory, NSW Public Works, Sydney, NSW Manly Hydraulics Laboratory (MHL) has collected ocean water level and tide data on behalf of the Office of Environment and Heritage (OEH) for over 20 years, at over 20 key locations on the NSW coast. This provides a dense spatial distribution of ocean water level data over a sufficient period to allow detailed analysis of the tide and climatic influences on water levels. With the longstanding Fort Denison tide gauge (managed by Sydney Ports Authority) recording hourly tide data for over 90 years, sufficient context is provided to couch the OEH records within the context of long-term trends and cycles. OEH commissioned MHL to study and publish analysis on the tide climate and long-term trends in the data record, resulting in the report MHL1881 NSW Ocean Water Levels. The published report provides essential information and analysis for planning on the NSW coast, and includes a detailed review of actual occurrences of tides, storm surge and long-term trends and cycles. This includes frequency distributions of measured levels and tidal anomalies, joint probability analysis, extreme value analysis and ranking of major events. With sea level rise being an important consideration in current coastal planning practices, this was a key area of research for NSW. The Fort Denison record shows long-term sea level rise, but also significant oscillations that give rise to periods of no water level rise, and periods of accelerated sea level rise. Ultimately this demonstrates that records under 40 years cannot correctly represent sea level rise. However, the OEH record can be used to examine climatic effects on a decadal period. Correlations are shown between NSW water levels and the climatic indices Southern Oscillation Index and Interdecadal Pacific Oscillation. This paper presents the key findings of the report and outlines some applications for communities on the NSW coast.

NSW Ocean Water Levels Current discourse on ocean water levels is generally preoccupied with global average sea level rise. While this is important for assessing one aspect of climate change on a global scale, it is regional oceanic behaviour that directly impacts coastal communities, and is the main focus of our work in NSW. Ocean water levels are influenced by a wide range of forces, from regular astronomical forcing, irregular meteorological-driven variability, long period oceanic and climate change effects. The analysis of these influences requires detailed monitoring over long periods. NSW is blessed with both a dense coastal recording network the Office of Environment and Heritage (OEH) tide network, operated by Manly Hydraulics Laboratory (MHL), and a long tide record the Fort Denison tide gauge, managed by Sydney Ports Authority (SPA). The OEH network alone provides a rich data supply covering up to 25 years of data from ocean gauges, upstream sites, offshore island sites and submerged offshore recorders. The Fort Denison gauge provides a broader context for analysis of long-term trends and cycles. A report developed by MHL and OEH aimed to use tidal data from the OEH network of tide gauges and other sources to determine, study and quantify the major influences on water levels in NSW. A detailed report was produced that will provide guideline values for planners, engineers, scientists and those involved in managing the NSW coastline, and is available from MHL. This paper presents some of the analyses currently used to expand the knowledge of NSW water level activity. It aims to investigate long-term rates of sea level rise, as well as identify periods of unusually high storm activity, and demonstrate relationships with climatic indices. Short period anomaly drivers such as storm setup, coastally trapped waves, freshwater events and others are addressed in detail in MHL1881. NSW Tide Network The OEH Ocean Tide network consists of 21 gauges considered to have a clean tidal signal. We categorise these into groups according to the characteristics of the tide record: open ocean bays and ports (representative of the open ocean without freshwater influences and a stable datum), offshore ocean (bottom-mounted pressure sensors that accurately capture tidal action but do not have a persistent datum), island sites (open ocean sites that are well removed from the mainland) and river entrance sites (that are representative of ocean tides but may be flood-affected). The tide climate of NSW is largely uniform, with a very slight increase in tidal range to the north of the state, as shown for the five open ocean gauges in Figure 1. Tidal ranges are determined from the four major tidal constituents (M2, S2, K1, O1) given by the harmonic analysis.

Figure 1 Total Ranges for OEH Gauges, with chainage of sites to scale along the coast. Total range is M2+S2+1.2*K1+1.2*O1. Open ocean and offshore sites give consistent tidal range results, with more variability from sites within river entrances. Similarly, tidal anomalies are consistent across the state for ocean sites, with a slight trend for higher anomalies to the north. Some of the larger anomalies are recorded at flood-affected sites (such as Tweed Heads, Brunswick Heads, Port Macquarie, Crookhaven). This is shown in Figure 2.

Figure 2 One-year annual occurrence of tidal anomalies for NSW tide gauges, with a slight increase towards the North. Sites with high anomalies are flood affected gauges.

Open ocean sites provide the most representative ocean tidal data and give the most robust analytical results for long-term water level behaviour. However, the lack of a suitable site to the north of Port Stephens leaves the north coast of NSW less well defined. A recent upgrade to 1-minute data logging has provided new insights into water level behavior at some sites. Coffs Harbour and Crowdy Head have both been known to have issues with seiching, as the gauges are located within a harbor. This leads to spurious anomaly peaks and a reduced accuracy in tide measurement and predictions. The 1-minute data now gives information about the seiching such as period, amplitude at the gauge, and the ability to correlate the seiche to particular ocean conditions. And it allows us to clearly resolve the tide signal from the tide gauge record as seen in Figure 3. Figure 3 A tide cycle at Coffs Harbor, demonstrating the effect of a seiche of approximately 20 minutes. The dashed line is a low-pass filtered 1-min signal that better represents the true tide Preliminary investigations into sea level trends demonstrated that the deployment period had a marked influence over linear trends. Datasets less than a tidal epoch (18.6 years) are unsuitable for the analysis of sea level rise and other long cycles as the normal astronomical forcing will not be fully captured. We can further argue that long period oceanic cycles will not be captured with datasets less than 30-40years. This was explored in detail using the Fort Denison data. Fort Denison Tidal Data The Fort Denison tidal dataset managed by Sydney Ports Corporation is one of the most valued tidal records in Australia, and is invaluable when addressing long-term changes

to east Australian water level, and the south-west Pacific Ocean state. For this analysis it provides a context in which to interpret long-term levels of the OEH network of tide gauges. Figure 4 shows monthly average and yearly averaged water level data from Fort Denison. The record has not been adjusted for anomaly drivers (such as MSLP), so represents the measured water level at the gauge. The long-term sea level trend of 0.94 mm/year is clearly apparent, as are variations to the average rate of rise. The last 20-year period, covering the data range of the other MHL gauging sites, is associated with sustained El Nino conditions, generally associated with drier, less stormy conditions in Australia. This causes a depressing of regional sea levels and is seen as a slowing of sea level rise in the Fort Denison data to 0.4 mm/year for 1986-2007 (MHL1881). This would imply that gauges across NSW with datasets of approximately 20 years will underestimate sea level rise.

Figure 4 Fort Denison monthly and yearly averaged water levels, with a linear trend of 0.9 mm/year

Southern Oscillation Index The Southern Oscillation Index (SOI) is a measure of the difference in atmospheric pressure between Tahiti and Darwin, and is a key indicator of El Nino/El Nina (ENSO) weather patterns. SOI = ( P P ) diff SD diffave ( P diff ) Pdiff = (average Tahiti MSLP for the month) - (average Darwin MSLP for the month), Pdiffave = long-term average of Pdiff for the month in question, and SD(Pdiff) = long-term standard deviation of Pdiff for the month in question. (Bureau of Meteorology, http://www.bom.gov.au/climate/glossary/soi.shtml) (7.1) SOI/ENSO may affect coastal water levels through a range of mechanisms: pressure difference across the Pacific, trade wind strength, frequency and severity of storm events in the Tasman and western Pacific, sea surface temperatures, east Australian current (EAC) variability, oceanic Rossby waves and others. These mechanisms are complex and often interrelated, for example Holbook and Goodwin (2009) have demonstrated that Rossby waves in the Pacific affect both EAC and long period sea level changes. The nature of these relationships is beyond the scope of this paper, however the SOI has been compared to NSW water levels to determine the correlation between them. A comparison of two-year average water levels for Fort Denison with two-year SOI averages shows a strong relationship between the two (Figure 6). Some lag of water level behind SOI is evident. For a lag of nine months the correlation between Fort Denison water level and SOI is 0.59. Figure 5 shows that the variability in water level associated with the SOI can be up to approximately 0.1 m.

Figure 5 Southern Oscillation Index and Fort Denison (detrended yearly average) Interdecadal Pacific Oscillation Another index of long period pacific ocean variability is the Interdecadal Pacific Oscillation (IPO). A positive phase of the IPO is detected as a warming of surface waters in the eastern Pacific with an associated cooling in the west. In comparison with SOI/ENSO this effect is apparent throughout the Pacific rather than within the tropics, and operates on longer periods, with events lasting 20-30 years rather than 1-2 years. Details of the method for determining IPO can be found in Folland et al. (1999). The data used in this analysis was determined by Chris Folland of the Met Office Hadley Centre for Climate Change, Exeter, and obtained from the Met Office website (July 2010). The comparison between long-term rolling average water level at Fort Denison (monthly average calculation of 10-year average) and the IPO is given in Figure 6. This demonstrates a strong relationship with the sea level lagging by several years. Figure 6 Fort Denison detrended 10-year rolling average water level and the Interdecadal Pacific Oscillation Index Conclusions Investigations into NSW tides and anomalies show several key influences on water levels. The drivers presented here provide some of the most pronounced impacts on

sea level, but there are clearly other influences that are either unknown or the complex interaction of several drivers. Very long period, global scale effects can be seen in long tidal records, in particular the Southern Oscillation Index has been found to show a strong correlation to water levels over long periods. The Fort Denison data clearly shows a period of reduced sea level rise over the period 1986-2007 of 0.4 mm/year as opposed to 0.9 mm/year over the length of the dataset. This is assumed to be associated with long period cycles rather than a slowing of sea level rise. For the majority of gauges presented in this report, this would imply that the measured rate of sea level rise over approximately 20 years is less than what would be measured over longer periods. Acknowledgements The authors would like to thanks Martin Fitzhenry and David Hanslow of OEH for their direction and contributions to this paper References Folland, C., (2008), INTERDECADAL PACIFIC OSCILLATION TIME SERIES grads.iges.org/c20c/ipo_v2.doc, Met Office Hadley Centre for Climate Change, Exeter, UK Holbook N., Goodwin I., McGregor S., Molina E, Power S. (2009) ENSO to multi-decadal time scale changes in East Australian Current transports and Fort Denison sea level: oceanic Rossby waves as the connecting mechanism Deep-Sea Research Manly Hydraulics Laboratory 1992, Mid New South Wales Coastal Region Tide-Storm Surge Analysis, MHL Report 621, October 1992. Manly Hydraulics Laboratory 2011, NSW Ocean Water Levels, MHL Report 1881, March 2011.