Sea ice has no effect on sea elevation, melting land ice does

The data used by climate scientists to reach their conclusions has all been publicly available for a long time.

It is still a denialist myth that the data isn't freely available....IT IS. But it turns out that having the data does you deniers no good because the data shows just what the experts told us it does.

Data Sources
27 November 2009
This page is a catalogue that will be kept up to date pointing to selected sources of code and data related to climate science.

Data Sources

• Climate data (raw)
• Climate data (processed)
• Paleo-data
• Auxiliary data
• Paleo Reconstructions (including code)
• Large-scale model (Reanalysis) output
• Large-scale model (GCM) output
• Model codes (GCMs)
• Model codes (other)
• Data Visualisation and Analysis
• Master Repositories of climate and other Earth Science data

Climate Data (raw)

• GHCN v.2 (Global Historical Climate Network: weather station records from around the world, temperature and precipitation)

• USHCN US. Historical Climate Network (v.1 and v.2)

• World Monthly Surface Station Climatology UCAR

• Antarctic weather stations

• European weather stations (ECA)

• Italian Meterological Society IMS

• Satellite feeds (AMSU, SORCE (Solar irradiance), NASA A-train, Ocean Color)

• Tide Gauges (Proudman Oceanographic Lab)

• World Glacier Monitoring Service

• Argo float data

• International Comprehensive Ocean/Atmosphere Data Set (ICOADS) (Oceanic in situ observations)

• AERONET Aerosol information

• Arctic data from the Cooperative Arctic Data and Information Service (CADIS)

Climate data (processed)

• Surface Temperature Anomalies GISTEMP (see also Clear Climate Code), HadCRU, NOAA NCDC, JMA, Berkeley Earth)

• Satellite temperatures (MSU) (UAH, RSS, Zou et al)

• Sea surface temperatures (Reynolds et al, OI)

• Stratospheric temperature

• Sea ice (Cryosphere Today, NSIDC, JAXA, Bremen, Arctic-Roos, DMI)

• Radiosondes (RAOBCORE, HadAT, U. Wyoming, RATPAC, IUK, Sterin (CDIAC), Angell (CDIAC)

• Sea level (U. Colorado, NOAA)

• Aerosols (AEROCOM, GACP)

• Greenhouse Gases (AGGI at NOAA, CO2 Mauna Loa, World Data Center for Greenhouse Gases, AIRS CO2 data (2003+))

• AHVRR data as used in Steig et al (2009)[/B]

• Snow Cover (Rutgers)

• GLIMS glacier database

• Ocean Heat Content: NODC, PMEL

• Ocean CO2 (CDIAC)

• GCOS Essential Climate Variables Index

• NOAA Climate Indicators State of the Climate 2009

Paleo-data

• [*]NOAA Paleoclimate
  [*]Pangaea
  [*]GRIP/NGRIP Ice cores (Denmark)
  [*]GISP2 (note that the age model has been updated)
  [*]National Geophysical Data Center (NGDC)
  [*]Insolation (i.e. Milankovitch cycles): Lasker (2004), Berger and Loutre (1991), Huybers (2006)

Auxiliary data

• Solar System Calculations (JPL Horizons)

Paleo Reconstructions (including code)

• Reconstructions index and data (NOAA)
• Mann et al (2008 ) (also here, Mann et al (2009))
• Kaufmann et al (2009)
• Wahl and Ammann (2006)
• Mann et al (1998/1999)

Large-scale model (Reanalysis) output

These are weather models which have the real world observations assimilated into the solution to provide a ‘best guess’ of the evolution of weather over time (although pre-satellite era estimates (before 1979) are less accurate).

• ERA40 (1957-2001, from ECMWF)
• ERA-Interim (1989 – present, ECMWF’s latest project)
• NCEP (1948-present, NOAA), NCEP-2
• MERRA NASA GSFC
• JRA-25 (1979-2004, Japanese Met. Agency)
• North American Regional Reanalysis (NARR)
• 20th Century Reanalysis (1871-2008 )

Large-scale model (GCM) output

These is output from the large scale global models used to assess climate change in the past, and make projections for the future. Some of this output is also available via the Data Visualisation tools linked below.

• CMIP3 output (~20 models, as used by IPCC AR4) at PCMDI
• GISS ModelE output (includes AR4 output as well as more specific experiments)
• GFDL Model output

Model codes (GCMs)

Downloadable codes for some of the GCMs.

• GISS ModelE (AR4 version, current snapshot)
• NCAR CCSM(Version 3.0, CCM3 (older vintage))
• EdGCM Windows based version of an older GISS model.
• Uni. Hamburg (SAM, PUMA and PLASIM)
• NEMO Ocean Model
• GFDL Models
• MIT GCM

Model codes (other)

This category include links to analysis tools, simpler models or models focussed on more specific issues.

• Radiative Transfer models (AER RRTM)
• Rahmstorf (2007) Sea Level Rise Code
• Vermeer & Rahmstorf (2009) Sea Level Rise Code and Data
• ModTran (atmospheric radiation calculations and visualisations)
• Various climate-related online models (David Archer)
• Integrated Assessment Models (IAMs) (FUND, FAIR, DICE, RICE)
• CliMT a Python-based software component toolkit
• Pyclimate Python tools for climate analysis
• CDAT Tools for analysing climate data in netcdf format (PCMDI)
• RegEM (Tapio Schneider)
• Time series analysis (MTM-SVD, SSA-MTM toolkit, Mann and Lees (1996))
• MAGICC

Data Visualisation and Analysis

These sites include some of the above data (as well as other sources) in an easier to handle form.

• ClimateExplorer (KNMI)
• Dapper (PMEL, NOAA)
• Ingrid (IRI/LDEO Climate data library)
• Giovanni (GSFC)
• Wood for Trees: Interactive graphics (temperatures)
• IPCC Data Visualisations
• Regional IPCC model output
• Climate Wizard

Master Repositories of Climate Data

Global Change Master Directory (GSFC)

• PAGES data portal

• NCDC (National Climate Data Center)

• IPCC Data

• NCAR’s ClimateDataGuide

• Carbon Dioxide Information Analysis Center, Oak Ridge National Lab: Atmospheric trace gas concentrations, historical carbon emissions, and more

• CRU Data holdings

• Hadley Centre Observational holdings

• UCAR Climate Data Guide

 

So i didn't see raw data, where is the raw data stored?

 

You better look again, it's under the second heading - 'Climate Data (raw)'

 

Did you see how much was missing, that was filled in with copy and paste?

 

Meaningless drivel.

The data is all there. You are just in a state of delusional denial about everything.

 

so question, when someone asks you what time it is, do you give them the directions on how to build a clock?

- - - Updated - - -

why is data cut an pasted?

 

as long as follow this approach there's no danger of deniers ever admitting the truth


You can post all the links to data you can find they'll never read it and the odd one that does won't understand it...

 

That's hilariously meaningless.

When someone asks me for the data that is used in climate science, I show them where the data is archived and available. Is that too hard for you to comprehend?

??????........ROTFLMAO.....do you even know what that nonsense is supposed to mean?

 

LOL...

If you say so.

 

Why, yes, I do indeed say so. If you think I'm wrong, prove it. The scientific data is all there.

 

I'm not the one making the claims that don't come to be.

I guess the observations are wrong since 95% of the models disagree with them.

 

I went to the first link, traced the source paper.

Here is the first paper:

http://www.addinall.net/climate/ausclimate/Hansen81_CO2_Impact.pdf

It doesn't work. It's only chance that the figure 6 graph comes close. Their "empirical equation" includes changes in aerosols, which went down rather than up. Messes up the predicted graph. I also noticed the figure 5 graph appears it would match closer if solar was given a higher coefficient.

The other three links? LOL... Rinse, repeat, propagate...

In Hansen's paper, I did find Figure 4 rather interesting. According to Hansen, doubling of CO2 has no immediate (months later) effect of surface temperature. He shows a 2.8 degree increase for doubling "many years later." At one point they say it would take 50 years for a rapidly mixing thermocline. My latest estimates I have claimed as both five 11 year solar cycles, and 55 years, a downward revision of my past 70 years. This can support my contention that the works in the 70's used correlation of CO2 to temperature for their sensitivity. The formula accounts for the 11 year cycle, as clearly seen by its modulating effect in figure 5. The many years later would be due to the thermal inertia.

Nobody yet has shown me I'm wrong.

It appears things don't add up either. They speak of theis 50 to 250 year minimum for fast mixing, and yet do most work as if real time. I guess this allows them to claim the 0.2% increase in solar has not effect, and can correlate strictly to CO2, which doesn't effect the ocean changes like solar does.

 

Anti-science denialist drivel. You have no idea what you're talking about. But, just for laughs, if you imagine you're right and all if the real scientists are wrong, go ahead and write up your 'theories' and submit your work to a major, peer-reviewed science journal and see if you can disprove all of the actual scientists. LOL.

 

I really wish for once you could address the merits of what others say instead of these chronic put downs. You shouldn't accuse me of having no idea what I'm talking about when you don't say why, other than it disagree with dogma.

 

Well, the future will tell us. Until then, do you think you can stop with the personal insults? Is that all you have?

 

Let me ask you this.

Every time I bring up the decades of time solar changes take to have effect, you disagree. When I point out they claim CO2 does this, you agree.

This a laughable, especially since SW penetrates water magnitudes deeper then LW. Anyone with a basic understanding of what I just said, agrees with me. It's not a difficult concept. A paper doesn't need to be written for common scientific knowledge.

 

The horse flagellants from pulling all those covered wagons must have started the sea level rise and receding glaciers:



They both look like a linear trend to me without our industrialization.

http://joannenova.com.au/2010/04/the-debate-continues-dr-glikson-v-joanne-nova/