Yes, the last decade saw global cooling, not warming

I just read an interesting article by a scientist studying cooling periods in the earth's history. He was sayin that if ice breaks off from the poles and melts in the oceans in significant amounts, it will cause cooling. The warm currents would be disrupted, and it will get cold fast. When everyone starts moving north to escape the heat, might be time to fade that, and move south.

 

You can have links to any of the source data you wish -- here are some of the major links to sites holding any data you wish to read:

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)
* Antarctic weather stations
* European weather stations (ECA)
* Satellite feeds (AMSU, SORCE (Solar irradiance), NASA A-train)
* 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

Climate data (processed)

* Surface temperature anomalies (GISTEMP, HadCRU, NOAA NCDC, JMA)
* Satellite temperatures (MSU) (UAH, RSS)
* 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) )
* Cloud and radiation products (ISCCP, CERES-ERBE)
* Sea level (U. Colorado)
* Aerosols (AEROCOM, GACP)
* Greenhouse Gases (AGGI at NOAA, CO2 Mauna Loa, World Data Center for Greenhouse Gases)
* AHVRR data as used in Steig et al (2009)
* Snow Cover (Rutgers)
* GLIMS glacier database
* Ocean Heat Content (NODC)
* GCOS Essential Climate Variables Index

Paleo-data

* NOAA Paleoclimate
* Pangaea
* GRIP/NGRIP Ice cores (Denmark)
* GISP2 (note that the age model has been updated)
* National Geophysical Data Center (NGDC)

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)

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.

* Rahmstorf (2007) Sea Level Rise Code
* 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))

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

Master Repositories of Climate Data

Much bigger indexes of data sources:

* Global Change Master Directory (GSFC)
* PAGES data portal
* NCDC (National Climate Data Center)
* IPCC Data
* 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

 

NASA has already recorded future data?


Now that you mention it,that would not surprise me.

 

Hey moron, science never said it was flat it was the church of superstition that insisted it was flat you moron..The church condemned Galilleo and did not admit they were stupidly wrong till the 1990s -almost 400yrs after the fact.You luddites are are delusional.Why do you hate science.
NASA,NOAA all agree gw is happening.

Please show me a peer reviewed showing global warming is wrong.

 

Wow I guess I really am ignorant. I didn't realize the beef between Galileo & the Catholic church was that he claimed the earth was round.

damn that public education

 

jesus brainwashing for you .

 

There is no need to record future data. Present day and past data are sufficient to prove it has been occurring.

 

It's not a matter of proving whether we create global warming or not, it's a risk management issue.

Even if it's a 50% chance we are the cause it's in our best interests to mitigate the risks by changing our ways, not waste time debating whether or not we are the cause.

Why not create a cleaner more energy-efficient world?

 

This is an excellent point. However, it's the solution to the so called problem that is the huge problem. It's nothing but a big transfer of wealth scam.

And when the solution is the goal far in advance of the problem, it's very easy to get scientists to toe your idealogical line when it's your funding stream that feeds their family.

 

The MMGW hoax hoax (you heard it here, folks) is a retention of wealth scam. Big, dirty oil, gas, and other industries are spreading FUD as fast and as far as they can.

What's the difference between our dirty, present industry that is creating jobs and making profits, and a future greener industry that is creating jobs and making profits?