Sentences with phrase «combination of the sea air»

The combination of the sea air, the sunshine and the balmy weather and clear blue skies are what wedding dreams are made of and the locations surrounding Port Douglas are just the icing on the cake.

Not exact matches

What this course lacks in sea views, as offered by most of the ocean - facing and cliff - top golf courses along Bali's coastal resort areas, Handara Golf makes up for with its great combination of flowing bentgrass greens backed by lush shrubbery, tropical gardens and mountain panoramas, together with the cool mountain air that allows for pleasant rounds of golfing throughout the 18 - hole golf course.

The popularity of the resort is due to the perfect combination of the sea with sandy beaches, mineral springs and mountain clear air.

The popularity of the resort is due to the unique combination of sandy beaches, mountain crystal clear air, mineral springs and the sea.

Guests at all three Bay Gardens properties have access to a wide selection of thrilling land, sea, air, and combination tours that explore the essence of St. Lucia, its culture, and beauty.

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.

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.

Shorefast ice conditions along the northeastern Chukchi Sea coast (Barrow to Wainwright) reflect the combination of late freeze - up after the 2012 record minimum summer ice extent and persistent westerly flow advecting warm air throughout fall and early winter.

The rains, at least meteorologically speaking, were not unexpected; the combination of slow - moving, low - pressure tropical air mass fed by high sea surface temperatures, and record humidity — in addition to the unpredictability of climate change — make catastrophic floods more likely.

[13] According to Arctic researcher Jennifer Francis, «The Arctic warmth is the result of a combination of record - low sea - ice extent for this time of year, probably very thin ice, and plenty of warm / moist air from lower latitudes being driven northward by a very wavy jet stream.»

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.

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.

I mistakenly believed the increase in ice formation resulted from some combination of colder sea water and air.

The new satellite Qa10 are used in combination with the newly reprocessed QuikSCAT V3, the latest version of sea surface temperature (SST) analyses, and with 10m air temperature estimated from the European Centre for Medium Weather Forecasts (ECMWF) re-analyses (ERA Interim).

As with previous CIS contributions, the 2016 forecast was derived by considering a combination of methods: 1) a qualitative heuristic method based on observed end - of - winter Arctic ice thickness / extent, as well as winter surface air temperature, spring ice conditions and the summer temperature forecast; 2) a simple statistical method, Optimal Filtering Based Model (OFBM), that uses an optimal linear data filter to extrapolate the September sea ice extent time - series into the future and 3) a Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictors.

The air can be warmer than the sea surface in some cases due to a combination of evaporation and radiation from the sea surface through the optical window direct to space on a clear night, removing energy faster than the air could add energy by conduction, or if winds bring in hotter air than the surface film from a different location.

Because Arctic sea ice is influenced by both air and water temperatures, the study authors use a combination of Arctic ice core, tree - ring and lake sediments to reconstruct Arctic conditions over the last 2,000 years.

«Fs», the fixed SST forcing, is a combination of the flux change at the top of (and throughout) the atmosphere and of the global surface air temperature change after the forcing and with observed sea surface temperature (SST) and sea ice (SI) held fixed.