1. Open iTunes (the Mac or PC app, not iTunes on your iPhone).
2. Plug in your iPhone, iPod touch or iPad.
3. Click its name under the devices list.
4. Ensure you’re on the Summary tab.
5. Click on the text that says Serial Number. It should change to say Identifier (UDID).
6. Select Copy from the Edit menu.
7. Your UDID is now in the clipboard, so you can paste it into an email or message.

Yet another reoccurring theme of the night was the difficulty of finding talent in New Mexico. By talent people mean engineering talent. It was problem at Deep Web and it’s going to be a for any startup in New Mexico. My advice of course is to design your development environment to be entirely virtual so you can go after talent where ever you can. This requires a more disciplined approach in the design and requirement phase of the project as you cannot rely on informal communication to sort out issues. This means Github for code control, campfire for virtual discussions and some form of project management tool that is virtual. That will allow you to scale your organization without being tied geographic regions.

In any case here are the datasets and climate models.

• Climate data (raw)
• Climate data (processed)
• Paleo-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 (alternate site), NOAA NCDC, JMA, BEST)
• 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) )
• Cloud and radiation products (ISCCP, CERES-ERBE)
• 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)
• Snow Cover (Rutgers)
• GLIMS glacier database
• Ocean Heat Content (NODC)
• 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)

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

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

It’s hard to think that they are going to be successful. They do have a shopping rewards aspect to the program. Will they be able to buy enough consumers to make it successful?

Obviously my two recent posts are an example of that. I very rarely use the Thalasar blog to build links for new sites but I did so just recently to test specific aspects of the Google index. If you look carefully at the posts, it’s pretty apparent what I am testing. When testing it always makes sense where possible to do an A/B split – although I am only splitting one of the last two posts to test.

Paintball Paintball where for art thou my my paintball? Since paintball has grown more competitive, the paintball gear to play the sport has grown more competitive. If you are a moderately competitive player you are going to want to find the best paintball gear at the lowest price. There’s no reason to pay full retail on paintball guns. We have built a web site that pulls the lowest prices on gear from multiple online vendors and includes the best Ebay paintball sellers. This gives you a single place to shop and save on paintball guns, paintballs, paintball barrels, paintball loaders and replacement paintball parts.
Paintball Guns On Sale

What you really need to do is price compare the various insurance providers in one place. You need to find cheap Texas ins quickly without a lot of hassle. Ideally you could go to a single form on the web and have your insurance quoted by every single major insurance provider in Texas. Auto insurance Texas is definitely the place to start. The system takes your insurance quote and distributes it out to all the major carriers to quote. Get quote from insurers such Progressive, Infinity, AIG, and more. It provides a significant amount of information on getting insured in TX and how to get the lowest rate. There’s even a online TX ins video to watch with six money saving tips.

This recall involves all Harmony High Chairs. The Harmony high chair was manufactured from November 2003 through December 2009 and is no longer in production. The model number can be found on the label that is located on the underside of the foot rest. Below is the complete list of model numbers affected by the Graco Highchair recall.
Model numbers include:
3920BAN 3920BAN2 3920BEB 3920BEBB 3920COV 3920DOH 3920GEI 3920GEIDSP 3920GRN 3920HMP 3920IVY 3920LAU 3920PKR 3930DDH 3930DHO3935CAL 3935OXB 3935PKR 3935PKRDSP 3935SPM 3935SPMDSP 3935THR 3935THR2 3935THR3 3940BIA 3940BIADSP 3940CAP 3940CLE 3940COT 3940DRM 3940HML 3940MCH 3940NGS 3940SAV 3940SLT 3940SPT 3940STA 3940UNN 3951CLO 3951CLT 3951COT 3951ORC 3951WLO 3955WSR 3960BGN 3960CJG 3960CNP 3960GGG 3980CNR 3E00ABB 3E00BAT 3E00DCF 3E00DCFDSP 3E00DGP 3E00DGPDSP 3E00GPK 3E01BDS 3E01BDSCA 3E01DNY 3E01DNY1 3E01ELP 3E01ELPDSP
Image: Highchair recall: Graco Harmony
Graco
Approximately 1.2 million Graco Harmony High Chairs have been voluntarily recalled due to a tip-over hazard.
The model numbers may begin with the letter A, B, C or D. Additional models affected are 1752404, 1755859, 1755860, 1757259, 1757412, and 1760429.
Manufactured in the United States, the affected high chairs were sold at AAFES, Burlington Coat Factory, Babies “R” Us, Toys “R” Us, Sears, Target, Target.com, Walmart, WalMart.com, Shopko, USA Baby, and other retailers nationwide from December 2003 through March 2010 for between $70 and $120.
Consumers who have the affected high chairs should immediately stop using them and contact Graco to receive a free repair kit. To order a free repair kit, contact Graco toll-free at (877) 842-3206 or visit the firm’s Web site at gracobaby.com. For additional information, contact Graco at (800) 345-4109 between 8 a.m. and 5 p.m. ET Monday through Friday.

Thankfully the NCAA has provided a printable and downloadable PDF bracket with game times and dates. Here is the complete downloadable and printable NCAA tournament bracket from NCAA.com