Sentences with phrase «on gistemp»

Global surface temperature relative to 1880 - 1920 based on GISTEMP analysis (mostly NOAA data sources, as described by Hansen, J., R. Ruedy, M. Sato, and K. Lo, 2010: Global surface temperature change.

Earlier 2018 months on GISTEMP were ranked similarly to MArch — Feb 6th and Jan 5th.

Visualization based on GISTEMP data https://www.flickr.com/photos/150411108@N06/35471910724 / Created by Antti Lipponen https://twitter.com/anttilip / via Carbon Brief https://www.youtube.com/watch?v=-yIHxOui9nQ

Global surface temperature relative to 1880 - 1920 based on GISTEMP data.

The first year in the forecast is 2016... currently 1.06 ℃ on GISTEMP.

I agree that we were discussing somewhat different subjects (e.g. you focused much more on the GISTemp adjustments).

Looks like GISS fixed it: They have posted a News bulletin on the GISTEMP homepage: 2010-04-15: The data shown between 4/13 and 4/15 were based on data downloaded on 4/12 and included some station reports from Finland in which the minus sign may have been dropped.

Global surface temperature relative to 1880 - 1920 based on GISTEMP analysis (mostly NOAA data, cf. Hansen, J, R Ruedy, M Sato, and K Lo, 2010: Global surface temperature change.

This is the basis for the combined seasonal anomaly plots that are now published on the GISTEMP website.

On the GISTEMP anomaly graph including seasonal cycles, I find the 2015 - 2016 jump in the winter lows to be the most startling detail.

Hey Helge, I notice on GISTEMP that some Svalbard temps from GHCN2 and GHCN3 are very different.

Not exact matches

The NASA results, calculated by Goddard Institute for Space Studies are published monthly on the NASA / GISS website (GISTEMP).

In GISTEMP both October and November came in quite warm (0.58 ºC), the former edging up slightly on last month's estimate as more data came in.

Your work on ccc - gistemp is already a giant contribution.

There are about three people involved in doing the GISTEMP analysis and they spend a couple of days a month on it.

# 10 Paul «One thing that seems potentially new and interesting from their results (and that I haven't seen many comments on) is the fact that their global record goes back about 50 more years than CRU and 80 more years than GISTEMP by starting with the year 1800.

By coincidence, yesterday was also the scheduled update for the GISTEMP July temperature release, and because July is usually the warmest month of the year on an absolute basis, a record in July usually means a record of absolute temperature too.

One of our Google Summer of Code students is working on making a faster and more user - friendly ccc - gistemp; one of the others is working on a new homogenization codebase (with input from Matt Menne, Claude Williams, and Peter Thorne), and the third is working on a web - facing common - era temperature reconstruction system (mentored by Julien Emile - Geay, Jason Smerdon, and Kevin Anchukaitis).

2018 is the 11th warmest February on record (= 6th in GISTEMP), the top eleven being 2016, 2017, 2015, 1998, 2002, 2004, 2010, 1995, 1999, 2007, 2018.

GISTEMP was 0.19 (0.17 for HadCRUT3v) on the same baseline.

One thing that seems potentially new and interesting from their results (and that I haven't seen many comments on) is the fact that their global record goes back about 50 more years than CRU and 80 more years than GISTEMP by starting with the year 1800.

GISTEMP has posted for January, kicking off the new year with a global anomaly of +0.78 ºC, the 5th warmest January on record after 2016 (+1.16 ºC), 2017 (+0.97 ºC), 2007 (+0.95 ºC) and 2015 (+0.81 ºC).

I've generated a graphic using the latest GISTEMP data that plots the anomaly over decadal average bars for decades 2005 - 2014, 1995 - 2004, and so on.

In particular, the characters visit Punta Arenas (at the tip of South America), where (very pleasingly to my host institution) they have the GISTEMP station record posted on the wall which shows a long - term cooling trend (although slight warming since the 1970's).

The correlation is centered on the rapid warming which occurred between 1980 — 1998 in gistemp and the rapid warming which (apparently) occurred between 1936 -1960 in Indo SST.

GISS, didn't seem to have a problem in relying on those first ten years when it constructed it's first GISTEMP temperature record in 1987 with records from 1951 - 1980.

On the Corrected NASA GISTEMP Data thread, you made some highly inaccurate and / or misleading assertions about latent heat, oranges and kettles — to which I replied.

I go with UAH and GISTEMP on this one.

Posts at RealClimate (here) and at SkepticalScience (here) looked on the paper as the second coming of... errr... Hansen's GISTEMP maybe, saying Cowtan and Way (2013) proved the UKMO HADCRUT4 data underreports by half the warming of global surface temperatures since 1997.

We expect to mentor 3 or 4 students on the Google Summer of Code (see below), to work on ccc - gistemp and other Foundation projects between May and August 2011.

Of course the GISTEMP data is not a simple MySQL database, so this will be entirely dependent on the existing data formats.

It also has a couple of bug fixes: to cope with the fact that the GISTEMP source tarfile that we used changed its layout (see this comment here for example); and to once again run on Python 2.4 (a thoroughly ancient version, please try and use Python 2.6).

Aside from regular mentoring, this project will require the GISTEMP data we plan to include in the tool and a server, physical or virtual, on which to develop the server - side components.

Figure 1: Difference in temperature trends between GISTEMP and the Cowtan and Way infilled temperature data on the period 1997 - 2012 (i.e. GISTEMP minus C&W).

Figure 2: Difference in Arctic temperature trends between GISTEMP and 3 other reconstructions on the period 1997 - 2012.

This guest post is written by Filipe Fernandes, one of our Google Summer of Code students, who is working on our ccc - gistemp project.

IMHO, GIStemp is useless and any work that is based on assuming GIStemp is valid is itself worthless.

Similarly, NASA GISTEMP is largely based on the same data sets used by NOAA GlobalTemp.

I personally think that smoothing anomalies from the land to the sea is one of the more surprising aspects of the GISTEMP algorithm, and it's on my list to run some code to calculate the correlation in between SST anomalies and nearby land anomalies.

As explained in Part 1A and Part 1B, the 1200 km area weighting scheme used by GISTemp is based on the known and observed phenomena of Teleconnection; that climates are connected over surprisingly long distances.

For example, here are the stats on stations used by GISTemp.

carrot eater: GISTEMP updated their sources on 16th January this year.

Related Links + For more information on NASA GISS's monthly temperature analysis, visit: data.giss.nasa.gov / gistemp.

It has no bearing on the record since the record for GISTEMP is 2005.

Let be the empirical variance estimated using tsbootstrap for the GISTEMP series on its common support with HadCRUT4.

The basic unit in the GISTEMP analysis is a grid of 8000 sub-boxes designed to contain equal area across the globe (although they appear uneven on a map).

Let be the empirical variance estimated using tsbootstrap for the HadCRUT4 series on its common support with GISTEMP.

The gridded temperature values computed by ccc - gistemp can be overlaid on the map by selecting a source — ocean, land, or mixed.

The Chapman and Walsh (2007) reconstruction (referred to below as CHAPMAN) is the most similar to GISTEMP in that it uses distance - weighted interpolation to fill in data voids on a regular 1 ° × 1 ° degree grid.

GISTEMP (NASA), which includes the polar regions (extrapolated), has 2005 as the hottest year on record.