Sentences with phrase «used giss»

5) I used GISS / Hansen to assess a baseline for hypothesis 1.

The article would have been stronger if I had used the GISS LOTI product that ALSO use the problematic land - projections over sea around the Arctic and Antarctic.

they used GISS metadata for station altitude, distance from coast and population.

Now if we consider the 1998 anomalies: UAH is +0.52 and GISS is +0.56 but, again, if the 1979 - 98 baseline is used the GISS anomaly is only +0.33.

I also meant to say that Hansen et al 2005 had used the earlier GISS ModelE; it is MEA15 that used GISS ModelE2 (in the E2 - R NINT version).

Bob Tisdale would have obtained the same results had he used the GISS met station air temperature series, which include both the Arctic and the Antarctic (and also doesn't use SSTs) instead of the 60N - 60S GISS LOTI series.

BTW, I noticed Josh Willis used GISS for his chart and Holdren had a nasty condescending tone.

We used the GISS Land - Ocean Index that uses SST over the oceans (the original one interpolated from island stations) and overlaid the graph from the KNMI Climate Explorer on the lower left - hand corner of their Fig. 6.

For instance, team member Linda Sohl used the GISS 3D model to see whether Earth circa 715 million years ago, with less carbon dioxide in the air, would be fully or partially covered in ice.

Schmidt, G.A., et al., 2006: Present day atmospheric simulations using GISS ModelE: Comparison to in - situ, satellite and reanalysis data.

When using the GISS dataset, the previous two intervals are similar to the CRU data, but the most recent is higher, resulting in the» 78 - ’05 interval being lower than the present.

Here is a zonally averaged mean temperature plot for six model configurations using GISS - E2 that have a range of about 1ºC in their global mean temperature.

Using GISS (1980 - 99) yields 0.153 ºC / decade.

Best to use the GISS or NCDC data.

That statement only holds true if you use GISS as your source rather than the more accurate, and global, sattelite data.

I did the calculations exactly by using the GISS simulation and the HadCRUT3 global temperature data: this is the result.

We'll use a GISS dataset that represents Stratospheric Aerosols.

We're using GISS LOTI data because it's more spatially complete than the UKMO CRUTEM data (which is used in the HADCRUT4 data).

Yes i could have used other temperature graphs etc, and i have indeed seen some similar graphs using GISS or RSS, practically same result.

It was first investigated by James Hansen, then director of GISS, in a very thorough 2005 paper, using GISS model E (whereas Marvel, Schmidt et al use the updated, but not necessarily superior, Model E2).

The approach is very similar to the one I adopted using the GISS dTs data above, with one important difference - every month in the reanalysis data is used to determine a distribution of possible coverage biases for each individual month in the HadCRUT4 record.

We use the GISS model of radiative transfer through the global atmosphere to try and break down the attribution using realistic distributions of local temperature, water vapor and clouds.

That is easily reconciled by using the GISS temperature series.

However, to defend Hansen, the writer has to use the GISS temperatures, which appear to be inflated.

Data products and related images obtained from several climate simulations and ensembles using the GISS ModelE.

I just apply a low pass filter with a cutoff frequency of 1000 years and leave the last 100 years unfiltered using GISS data.

As for your 2, you should first not use GISS data when that isn't the data in question.

[Using the GISS and NCDC records beginning in 1998 and 1999]

[Using the GISS record staring in 1991 or 1992 — the cool years just after the volcanic eruption of Mt. Pinatubo]

P.S. My earlier graph estimating Hadcrut4 using GISS was off by only one month as the flat line started in December 2000 in the estimation.

Chandler et al. write, in a paper about simulating the Pliocene climate using GISS - E2 - R:

Just to clarify a point I made above, F&G use GISS & HadCru data to derive their moderate sensitivity estimate.

Here, starting in 1991, is a 10 year forward moving trend of trends using GISS data, I hope that even the most ardent warming advocate will open the other eye.

What I did was use the GISS and UAH time series and determined the anomaly trends (linear regression) and 95 % CI (for the trends) for the time periods in question.

I have my own method of estimating TCR using GISS's forcing data.

I was wondering why and how the Wunderground blog was trumpeting September as the 4th hottest ever — obviously they were using GISS, not HADCRUT4.

I agree with you that to use GISS data to answer this question is foolhardy.

That's the main reason I prefer to use GISS data, considering it more representative of the planet as a whole.»

You are using GISS which shows the most warming of most data sets, so what you are showing is the worst case.

The periodic functions you fit are fairly clear — I have run my own tests using GISS (up to 2008) to look for the sine wave function with the best fit.

First thing, though is if anyone wants to use GISS, HadCru, or GHCN's data to refute the facts and conclusions of Watts et al (2012), they'll have to get them to release their station lists.

This climate modeling experiment was performed using the GISS ModelE general circulation coupled atmosphere - ocean climate model by zeroing out all of the non-condensing greenhouse gases.

He uses the GISS data for the city of Springfield.

For example the trend from 1998 from SS using GISS is 0.065 + / - 0.145 C per decade which does not meet my definition.

Earlier this year, a comparison was done using the GISS global temperature observations dataset versus an earlier version of the NASA / GISS computer climate model output, as of 2015 year - end.

Why would anyone use GISS in the satellite era?

In Re prior post ALLAN MACRAE January 17, 2018 at 9:09 pm «Why would anyone use GISS in the satellite era?

The main reason, apart from the greater stability, to use GISS and other surface measures is to get a surface index, where we live.

This has been investigated using GISS - E2 - R (Cook et al. 2015: Irrigation as an historical climate forcing), and using other models; the modelled impact on GMST is very small.

Present day atmospheric simulations using GISS Model: comparison to in - situ, satellite and reanalysis data.