Sentences with phrase «used sea level data»

«In our study we used sea level data measured by various tide gauges throughout the twentieth century to see how extreme sea level during hurricanes has changed with temperature.»

Not exact matches

Using the Great Barrier Reef as their study case, they estimated the evolution of the region over the last 14,000 years and showed that (1) high sediment loads from catchments erosion prevented coral growth during the early phase of sea level rise and favoured deep offshore sediment deposition; (2) how the fine balance between climate, sea level, and margin physiography enabled coral reefs to thrive under limited shelf sedimentation rates at 6,000 years before present; and, (3) how over the last 3,000 years, the decrease of accommodation space led to the lateral extension of coral reefs consistent with available observational data.

The study, published in Nature Communications uses newly available data and advanced models to improve global predictions when it comes to extreme sea levels.

Dr. Willis studies sea level rise driven by human - caused global warming, using data measurements taken from space.

Using topographic data and sea level models, Franklin modelled the effect of this transition, showing how of a 400 - foot rise in sea level affected the Bahamas, reducing their land area by more than ten-fold.

Whereas most studies look to the last 150 years of instrumental data and compare it to projections for the next few centuries, we looked back 20,000 years using recently collected carbon dioxide, global temperature and sea level data spanning the last ice age.

The analysis, which used land elevation and tidal data, found that 460 acres, or about a sixth of Hallandale Beach, would be below sea level during high tide under a 3 - foot scenario of rise, according to Nancy Gassman, a natural resources administrator for Broward County's Natural Resources Planning and Management Division who worked on the assessment.

In addition, GOCE data could be used to help validate satellite altimetry measurements for an even clearer understanding of ice - sheet and sea - level change.

Radar satellites supply the data used to map sea level and ocean currents.

New research led by University of Hawai'i at Mānoa (UHM) oceanographer Bo Qiu has determined from observational data the length scale at which using sea level height no longer offers a reliable calculation of circulation.

Scientists use sea level as a means to calculate ocean circulation because satellites circle Earth daily, acquiring sea level data frequently and accurately.

Working with David Pollard of Pennsylvania State University, DeConto calibrated this model using data on past sea level rises during warm periods 120,000 and 3 million years ago.

Bed topography data are vital for computer models used to project future changes to ice sheets and their contribution to sea level rise.

In this paper, we examine the causes of the observed sea level rise in the region south of Australia, using 13 years of repeat hydrographic data from the WOCE SR3 sections, and the SURVOSTRAL XBT and surface salinity data.

Modeling Sea - Level Rise Effects on Population using Global Elevation and Land - Cover Data E. Lynn Usery (2007) http://cegis.usgs.gov/pdf/aag-2007.pdf

In the first comprehensive satellite study of its kind, a University of Colorado at Boulder - led team used NASA data to calculate how much Earth's melting land ice is adding to global sea level rise.

This webinar explored how SEAs can build an information system designed to drive productivity — what data are needed, how to compile the data into useful resources for leaders at every level of education and how these stakeholders can use the data to drive decision making and advance productivity.

The study uses multiple data sources to identify the potential impact of sea level rise on land and transportation infrastructure along the Atlantic coast, from Florida to New York.

Reconstruction of past decades sea level using thermosteric sea level, tide gauge, satellite altimetry and ocean reanalysis data.

Modeling Sea - Level Rise Effects on Population using Global Elevation and Land - Cover Data E. Lynn Usery (2007) http://cegis.usgs.gov/pdf/aag-2007.pdf

Mal Adapted @ 40 When alarmist language is used about our sea levels and local topographic data says otherwise and anybody who disputes it is called a denier then something has gone terribly wrong.

Personally I think the approach taken by Church and White (2006, 2011) probably comes closest to the true global average sea level, due to the method they used to combine the tide gauge data.

They seem to take pride in... «exclusive use of Argo» data with no use of anything else, including sea level.

When alarmist language is used about our sea levels and local topographic data says otherwise and anybody who disputes it is called a denier then something has gone terribly wrong.

Mike's work, like that of previous award winners, is diverse, and includes pioneering and highly cited work in time series analysis (an elegant use of Thomson's multitaper spectral analysis approach to detect spatiotemporal oscillations in the climate record and methods for smoothing temporal data), decadal climate variability (the term «Atlantic Multidecadal Oscillation» or «AMO» was coined by Mike in an interview with Science's Richard Kerr about a paper he had published with Tom Delworth of GFDL showing evidence in both climate model simulations and observational data for a 50 - 70 year oscillation in the climate system; significantly Mike also published work with Kerry Emanuel in 2006 showing that the AMO concept has been overstated as regards its role in 20th century tropical Atlantic SST changes, a finding recently reaffirmed by a study published in Nature), in showing how changes in radiative forcing from volcanoes can affect ENSO, in examining the role of solar variations in explaining the pattern of the Medieval Climate Anomaly and Little Ice Age, the relationship between the climate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in atmospheric chemistry (an analysis of beryllium - 7 measurements).

For that purpose we use global grids of thermosteric sea level data, available over 1950 — 2003.

For anyone who would like to explore what sea level rise would mean for the US coastline, check out this interactive map I made using the EPA's data.

Hatun et al. also used altimeter data (local sea level height measurements from satellite observations) to diagnose the norther oceans gyre circulation.

It uses the satellite data of sea level to determine the typical variability patterns of the sea surface and thus to establish the link between the locally measured tide gauge values and the global sea level.

For 1994 - 2009, using sea - level data, Willis et al. (2010) reconstructed an increase in the upper AMOC limb at 41 ° N by 2.8 Sv.

The Arctic altimeter data were retracked using an OCOG retracking algorithm, and the diffuse returns from the leads and open ocean were combined with a host of instrumental corrections and geophysical models to determine instantaneous mean sea level....»

In the past I have used the University of Colorado for the sea level data, but I am rather disgusted by the constant tinkering that has been happening.

Canadian Ice Service, 4.7, Multiple Methods As with CIS contributions in June 2009, 2010, and 2011, the 2012 forecast was derived using a combination of three methods: 1) a qualitative heuristic method based on observed end - of - winter arctic ice thicknesses and extents, as well as an examination of Surface Air Temperature (SAT), Sea Level Pressure (SLP) and vector wind anomaly patterns and trends; 2) an experimental Optimal Filtering Based (OFB) Model, which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictoSea Level Pressure (SLP) and vector wind anomaly patterns and trends; 2) an experimental Optimal Filtering Based (OFB) Model, which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictosea ice predictors.

I used the least adjusted data from The University of Colorado sea level data.

Canadian Ice Service, 4.7 (+ / - 0.2), Heuristic / Statistical (same as June) The 2015 forecast was derived by considering a combination of methods: 1) a qualitative heuristic method based on observed end - of - winter Arctic ice thickness extents, as well as winter Surface Air Temperature, Sea Level Pressure and vector wind anomaly patterns and trends; 2) a simple statistical method, Optimal Filtering Based Model (OFBM), that uses an optimal linear data filter to extrapolate the September sea ice extent timeseries into the future and 3) a Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictoSea Level Pressure and vector wind anomaly patterns and trends; 2) a simple statistical method, Optimal Filtering Based Model (OFBM), that uses an optimal linear data filter to extrapolate the September sea ice extent timeseries into the future and 3) a Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictosea ice extent timeseries into the future and 3) a Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictosea ice predictors.

Researchers using NASA data have estimated that if all of the ice in the glaciers were to melt, the sea level would rise by 17 inches — a lot but not catastrophic.

Climate change, sea level rise, Greenland Ice Sheet, Antarctic ice loss, glaciers, using satellite data and laser altimetry to measure the Earth

Several other satellite altimeters have also been launched, and the data from these have been used to estimate global mean sea level trends since 1993.

Emissions were calculated from the information in the ICAO Engine Exhaust Emissions Data Bank (ICAO, 1995), through the use of Boeing «Method 2» procedures (Baughcum et al., 1996b, Appendix D), which allow extrapolation of sea - level data in the ICAO data bank to the operating altitudes and temperatures encountered throughout the aircraft flight profData Bank (ICAO, 1995), through the use of Boeing «Method 2» procedures (Baughcum et al., 1996b, Appendix D), which allow extrapolation of sea - level data in the ICAO data bank to the operating altitudes and temperatures encountered throughout the aircraft flight profdata in the ICAO data bank to the operating altitudes and temperatures encountered throughout the aircraft flight profdata bank to the operating altitudes and temperatures encountered throughout the aircraft flight profile.

Are there any parts of the world that are geologically stable enough to use them for direct sea - level data?

Several techniques are used to observe changes in sea level, including satellite data, tide gauges and geological or archeological proxies.

Monthly observations from the Gravity Recovery and Climate Experiment (GRACE) can provide estimates of the ocean mass component of the sea level budget, but full use of the data requires a detailed understanding of its errors and biases.

The data used in a paper published by Jevrejeva et al (2006) in the JOURNAL OF GEOPHYSICAL RESEARCH indicates that the rate of sea level rise from the mid 19th century until the end of the 20th century was constant.

Prior to the use satellite data, there is only very rough estimates of global sea level rise.

Canadian Ice Service; 5.0; Statistical As with Canadian Ice Service (CIS) contributions in June 2009 and June 2010, the 2011 forecast was derived using a combination of three methods: 1) a qualitative heuristic method based on observed end - of - winter Arctic Multi-Year Ice (MYI) extents, as well as an examination of Surface Air Temperature (SAT), Sea Level Pressure (SLP) and vector wind anomaly patterns and trends; 2) an experimental Optimal Filtering Based (OFB) Model which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere, and sea ice predictoSea Level Pressure (SLP) and vector wind anomaly patterns and trends; 2) an experimental Optimal Filtering Based (OFB) Model which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere, and sea ice predictosea ice predictors.

There is no excuse for Noonan's use of data that is 12 years out of date to make claims of current sea level rise.

Daily mean NCEP / NCAR reanalysis data are used as atmospheric forcing, i.e., 10 - m surface winds, 2 - m surface air temperature (SAT), specific humidity, precipitation, evaporation, downwelling longwave radiation, sea level pressure, and cloud fraction.

Through the use of data, visualization, citizen engagement, and simulations, you can help people understand their exposure to coastal inundation hazards and their increased vulnerability due to population increase and sea level rise.

Using sophisticated ocean and climate models, past data and observations, the researchers found that while sea levels are rising in a number of areas in the Indian Ocean, sea levels are falling in other areas.

Actually Fielding's use of that graph is quite informative of how denialist arguments are framed — the selected bit of a selected graph (and don't mention the fastest warming region on the planet being left out of that data set), or the complete passing over of short term variability vs longer term trends, or the other measures and indicators of climate change from ocean heat content and sea levels to changes in ice sheets and minimum sea ice levels, or the passing over of issues like lag time between emissions and effects on temperatures... etc..