deletions | additions       diff --git a/These_are_sutiable_for_comparison__.tex b/These_are_sutiable_for_comparison__.tex  index 0919bd7..4d13d31 100644  --- a/These_are_sutiable_for_comparison__.tex  +++ b/These_are_sutiable_for_comparison__.tex 
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These are sutiable for comparison - Ground based remote sensing sensing\\  - why is it useful (validation of satellites and can be more easily calibrated using in-situ measurements) measurements)\\  - what datasets are there (NDACC and TCCON (Wunch 2010)) 2010))\\  - if at all how have they been calibrated. calibrated.\\    TCCON dataset dataset\\  - What is TCCON – purpose, where, spectroscopy spectroscopy\\  - TCCON has been used to validate satellite remote sensing products (Scheepmaker, Boesch), but TCCON dD has not itself been validated using independent measurement techniques. techniques.\\  In-Situ measurements measurements\\  - how can these add value (accuracy) (accuracy)\\  - difficulties of such comparisons comparisons\\  Tropics Tropics\\  - poorly constrained hydrology hydrology\\  - driving force of moisture transport transport\\  - lack of measurements measurements\\  - isotopically show added value not seen elsewhere (no relationship between dD and H2O – convection) – can models and remote sensing products reproduce these effects and the seasonality seasonality\\  - TWP is unique area strongly influenced by MJO and pacific warm pool so is an area of intense convection during the wet season. \\  The Darwin TCCON site and co-located Picarro instrument provides a unique opportunity to study both how tropical hydrological processing effects stable isotopes and assess the accuracy of the Darwin dD TCCON measurements. This paper analyses the added value from isotopic measurements for interpreting tropical hydrology in wet and dry seasons. We examine the roles that different dehydration processes influence the local hydrology. In addition we use in-situ measurements to assess the accuracy of dD TCCON retrievals and and determine how uncertainty influences the intepretation of seasonal cycle and atmospheric hydrological processing. Finally we examine the agreement between the modelled surface and column datasets and determine if they are sensitive to the hydrological processes observed in the in-situ surface observations.