Sentences with phrase «giss ocean data»

Global hurricane frequency versus global ocean temperatures - Top image from FSU ACE, bottom image from GISS ocean data plotted by WUWT - click for larger image

I suppose I could run the monthly GISS Ocean data set and come up with a 2 year or 5 year curve, but I'm off to appointments this AM.

Not exact matches

Way and his GISS colleagues simulated conditions of a hypothetical early Venus with an atmosphere similar to Earth's, a day as long as Venus» current day, and a shallow ocean consistent with early data from the Pioneer spacecraft.

Gavin - Here is Climate Science's follow up to your continued refusal to update the GISS model comparison with the ocean heat content change data — http://climatesci.org/2008/05/26/challenge-to-real-climate-on-their-prediction-of-global-warming/.

Data quality, surface, Andrews, SAT, adjustments, GISS, homogeneity, credibility, NOAA, endangerment finding, wind, parasitic, grid, where s the quid, Russia, developing countries, Paris, exports, sea levels, renewable fuel, fad, diesel, ocean carbonization, Hansen, 89 - 535 trillion USD, Eemian

Gavin - Here is Climate Science's follow up to your continued refusal to update the GISS model comparison with the ocean heat content change data — http://climatesci.org/2008/05/26/challenge-to-real-climate-on-their-prediction-of-global-warming/.

3) Can you confirm that the temperature and net flux data for GISS - E2 - R, available via the CMIP5 portals and KNMI Climate Explorer are based on a model corrected to fix the ocean heat transport problem which you identified in the Russel ocean model in your 2014 paper?

[Response: I would point out that if you look at the combined ocean and land data for the tropics (available at the GISS web site), the ocean (still part of the surface after all) shows significant and widespread warming.

Chris V. CO2 goes up, temp goes down, oceans cool, sea levels decrease, arctic sea ice is within 1979 -2000 mean, AGW theory of catastrophic warming is B U S T... Even the fraudulent manipulation of the GISS data set does not change that.

A known problem with that dataset is that GISS Deletes Arctic And Southern Ocean Sea Surface Temperature (SST) Data.

In this post, I divide the globe (60S - 60N) into two subsets and remove the linear effects of ENSO and volcanic eruptions from GISS Land - Ocean Temperature Index data since 1982.

They find about 0.25 °C less Arctic warming during the past decade than in the GISS analysis, a difference that they attribute to our method of interpolating and extrapolating data, especially into the Arctic Ocean regions where no station data are available.

The left - hand graph in Figure 6 presents the GISS Land - Ocean Temperature Index (LOTI) data for the low - to - mid latitudes of the Northern Hemisphere (0 - 65N).

GISS data in the Arctic and Southern Oceans, therefore, would exaggerate the warming in both polar oOceans, therefore, would exaggerate the warming in both polar oceansoceans.

GISS also masks sea surface temperature wherever sea ice has existed so there is little data in the Arctic Ocean.

We can look at the impacts of the GISS infilling method by subtracting the global GISS land - ocean temperature index data with 250 km smoothing from the GISS data with 1200 km smoothing.

I have added the GISS Land Ocean Temperature Index (LOTI) data up to January 2011 and I have also added the Mauna Loa CO2 data.

and re-zeroed the GISS surface - ocean data to the same 1958 - 1967 period.

If you use data from GISS, HADLEY or Berkeley, it seems that SST is growing in the Southern Ocean.

For the ocean data, GISS still uses ERSST v3b rather than the newer ERSST v4, but will switch to that file next month, when we add the June 2015 data; the collection of land station data used in that paper includes many more sources than GHCN v3.3.0 and will probably be incorporated into a future GHCN v4.

This includes ocean heat content (it is more or less), GISS, Hadley etc global data — and includes raw data and adjustment algorithms / codes.

Using corrected ocean heat data and the GISS forcings data, the bottom of the 10 % -90 % confidence interval is a sensitivity of about 0.8 C. And using the forcings in AR4 WG1 Fig. 2.23, it would be about 0.6 C.

If the corrected 2005 Levitus dataset ocean heat flux data and the GISS change in radiative forcings estimates were used, (Q — F) in the Gregory 02 equation (3) would be centred on 0.68 Wm - 2 instead of on 0.20 Wm - 2.

«A more accurate comparison of global ocean / land energy imbalances would be GISS (since they use Arctic data), and ocean heat content down to 2000 meters.»

For the data, the top graph includes the GISS Land - Ocean Temperature Index (LOTI), while the bottom graph includes the HadCRUT4 reconstruction from the UKMO.»

Both NASA GISS and NOAA NCEI use NOAA's ERSST.v4 «pause buster» data for the ocean surface temperature components of their combined land - ocean surface temperature datasets, and, today, both agencies are holding a multi-agency press conference to announce their «warmest ever» 2016 global surface temperature findings.

As noted above, the ERSST.v4 data make up the ocean portion of the NOAA and GISS global land + ocean surface temperature products.

Because the GISS analysis combines available sea surface temperature records with meteorological station measurements, we test alternative choices for the ocean data, showing that global temperature change is sensitive to estimated temperature change in polar regions where observations are limited.

A commentator on the ClimateAudit thread has asked Gavin Schmidt, in a comment submitted to RealClimate, whether temperature and net flux data for GISS - E2 - R available via the CMIP5 portals and KNMI Climate Explorer are based on a model corrected to fix the ocean heat transport problem.

Introduction: The GISS Land Ocean Temperature Index (LOTI) data is a product of the Goddard Institute for Space Studies.

This is likely caused, in part, by GISS masking sea surface temperature data in the polar oceans and replacing it with land surface air temperature data, which is naturally more volatile.

NASA's «GISS» temp uses land and ocean - based thermometers which measure «different parts of the system [UHI affected parking lots, asphalt heat sinks, AC exhaust air vents], different signal to noise ratio [we bias toward warm stations], different structural uncertainty [we «homogenise» our data set to cool the past and warm the present to fit the global warming narrative].»

3) Can you confirm that the temperature and net flux data for GISS - E2 - R, available via the CMIP5 portals and KNMI Climate Explorer are based on a model corrected to fix the ocean heat transport problem which you identified in the Russell ocean model in your 2014 paper?

The T rise I quoted -LRB-.8 oC) comes from the NASA GISS anlysis which is based on weather station readings and ocean going vessel air temperature readings from as many places around the globe as reliable data is available.

For equilibrium efficacies, I show estimates both from the raw data (save for iRF), and with the ocean heat uptake ΔQ divided by 0.86 to estimate the full TOA imbalance ΔN and the GISS - E2 - R equilibrium climate sensitivity of 2.3 °C replaced by its effective climate sensitivity, taken as 2.0 °C.

This is just a brief note to point out that a few graphs that I have put together showing Ocean Heat Content changes in recent decades had an incorrect scaling for the GISS model data.

But what is GISS's pretext for extrapolating the ground based land temperature measurements over the oceans instead of using real data?

In their LOTI product, GISS does use «real ocean data» for the global oceans where there is no seasonal sea ice.

Yes, look in te right side, there is presented NOT the LOTI you mention but the Tsurf (where GISS project land data over the oceans over the whole world).

The problem of «extra heat» in land temperatures (likely to be UHI and more) is escalated by GISS because they extrapolate the ground based land temperature measurements over the oceans in stead of using real ocean data:

But when you write in a post here at WUWT, «The problem of «extra heat» in land temperatures (likely to be UHI and more) is escalated by GISS because they extrapolate the ground based land temperature measurements over the oceans in stead of using real ocean data,» I will remind you that GISS notes the errors in the dTs data on their webpage:

But you wrote in this post about Figure 7, «The problem of «extra heat» in land temperatures (likely to be UHI and more) is escalated by GISS because they extrapolate the ground based land temperature measurements over the oceans in stead of using real ocean data.»

You wrote, «The problem of «extra heat» in land temperatures (likely to be UHI and more) is escalated by GISS because they extrapolate the ground based land temperature measurements over the oceans in stead of using real ocean data...»