Sentences with phrase «estimated over global ocean»

Not exact matches

Global mean temperatures averaged over land and ocean surfaces, from three different estimates, each of which has been independently adjusted for various homogeneity issues, are consistent within uncertainty estimates over the period 1901 to 2005 and show similar rates of increase in recent decades.

The estimated increase of observed global ocean heat content (over the depth range from 0 to 3000 meters) between the 1950s and 1990s is at least one order of magnitude larger than the increase in heat content of any other component.

It is certainly true that a very small temperature bias that is not random from instrument to instrument, but instead is the same over a large number of profiles can create systematic error in global estimates of ocean heat content.

The HadCRUT4 dataset, compiled from many thousands of temperature measurements taken across the globe, from all continents and all oceans, is used to estimate global temperature, shows that 2017 was 0.99 ± 0.1 °C above pre-industrial levels, taken as the average over the period 1850 - 1900, and 0.38 ± 0.1 °C above the 1981 - 2010 average.

The remotely sensed flux observations are then used to estimate regular flux fields in space and time over the global ocean.

By comparing modelled and observed changes in such indices, which include the global mean surface temperature, the land - ocean temperature contrast, the temperature contrast between the NH and SH, the mean magnitude of the annual cycle in temperature over land and the mean meridional temperature gradient in the NH mid-latitudes, Braganza et al. (2004) estimate that anthropogenic forcing accounts for almost all of the warming observed between 1946 and 1995 whereas warming between 1896 and 1945 is explained by a combination of anthropogenic and natural forcing and internal variability.

Bentamy A., K B. Katsaros, M. Alberto, W. M. Drennan, E. B. Forde, and H. Roquet, 2003: Satellite Estimates of wind speed and latent heat flux over the global oceans, J. Climate, 16, 637 - 656.

Limited validations for the results include comparisons of 1) the PERSIANN - derived diurnal cycle of rainfall at Rondonia, Brazil, with that derived from the Tropical Ocean Global Atmosphere Coupled Oceanï ¿ 1/2 Atmosphere Response Experiment (TOGA COARE) radar data; 2) the PERSIANN diurnal cycle of rainfall over the western Pacific Ocean with that derived from the data of the optical rain gauges mounted on the TOGA - moored buoys; and 3) the monthly accumulations of rainfall samples from the orbital TMI and PR surface rainfall with the accumulations of concurrent PERSIANN estimates.

In the present study, satellite altimetric height and historically available in situ temperature data were combined using the method developed by Willis et al. [2003], to produce global estimates of upper ocean heat content, thermosteric expansion, and temperature variability over the 10.5 - year period from the beginning of 1993 through mid-2003...

«A global ocean heat content change (OHC) trend of 0.55 ± 0.1 Wm ^ 2 is estimated over the time period 2005 — 2010.

J. T. Fasullo, R. S. Nerem & B. Hamlington Scientific Reports 6, Article number: 31245 (2016) doi: 10.1038 / srep31245 Download Citation Climate and Earth system modellingProjection and prediction Received: 13 April 2016 Accepted: 15 July 2016 Published online: 10 August 2016 Erratum: 10 November 2016 Updated online 10 November 2016 Abstract Global mean sea level rise estimated from satellite altimetry provides a strong constraint on climate variability and change and is expected to accelerate as the rates of both ocean warming and cryospheric mass loss increase over time.

Abstract: «Global mean sea level rise estimated from satellite altimetry provides a strong constraint on climate variability and change and is expected to accelerate as the rates of both ocean warming and cryospheric mass loss increase over time.

However, for radiosonde observations, which are irregularly spaced with large gaps over the oceans (Figure 2.6), global - mean temperature is estimated on the basis of those stations operating during the season in question.

«In our mor recent global model simulations the ocean heat - uptake is slower than previously estimated, the ocean uptake of carbon is weaker, feedbacks from the land system as temperature rises are stronger, cumulative emissions of greenhouse gases over the century are higher, and offsetting cooling from aerosol emissions is lower.

While there are few ground - based weather stations in the North Pacific to tally how much rain fell over the ocean, satellites such as those participating in the Global Precipitation Measurement (GPM) mission can estimate precipitation rates from above.

So, the two numbers (one a global estimate and one just an estimate over the oceans) are in reasonably good agreement considering that they don't measure exactly the same thing.

Comparing the trend in global temperature over the past 100 - 150 years with the change in «radiative forcing» (heating or cooling power) from carbon dioxide, aerosols and other sources, minus ocean heat uptake, can now give a good estimate of climate sensitivity.

... Averaged over the global ocean surface, the mean rate of sea level change due to GIA is independently estimated from models at -0.3 mm / yr (Peltier, 2001, 2002, 2009; Peltier & Luthcke, 2009).

Following these findings, the researchers recommend shorter productivity measurements to help minimize the effect of respiratory and dissolved organic carbon loss and hopefully produce more precise estimates of the ocean's global carbon productivity over smaller increments of time.