4th CCI collocation Meeting

Ozone_cci Phase 2 Objectives

Michel Van Roozendael and

Ozone_cci team

ESA/ESRIN, Frascati, Italy 4-6 February 2014

WMO O3 assessment 2014 •  Profile trends in WMO Ozone Assessment 2014

•  Chapter 2: Global Ozone (Co-authors: M. Weber, J. Urban; contributing authors: R. van der A, M. Coldewey-Egbers, D. Loyola)

•  Chapter 3: Polar Ozone (Lead author: M. Dameris; contributing authors: R. van der A, M. Weber)

2001-2011

Ozone_cci team in Phase-2 3 2 EO Science Teams EOST-1 (Nadir) EOST-2 (Limb)

VALT (Validation) CRG (Climate

Research) SET (System Engineering)

+

Tropospheric

Team organisation in Phase-2

Overall organisation concept

Planned Improvements in Phase-2

Ø  Consolidation of ozone products portfolio à longer time-series

Ø  Continued improvement of retrieval algorithms for nadir UV sensors à soft calibrations, cloud correction scheme, add OMI (and OMPS), harmonise columns and profiles (one single nadir EOST).

Ø  Include IASI instrument (improved information content in UTLS).

Ø  New focus on tropospheric data products, using 4 different approaches à nadir profiles (UV and TIR), CCD, limb-nadir matching, assimilation

Ø  Extend altitude range of limb products à UTLS and mesosphere

Ø  Link/merge European data sets to historical US data series.

Plans for nadir sensors •  EOST-1 & 2 merged into one single nadir EOST •  IASI added to UV sensors •  Year-1: Consolidation of CRDP

Ø  Full processing GOME, SCIA, GOME-2 profiles Ø  Extended total column processing to OMI Ø  Adapt IASI FORLI scheme for CCI consistency

•  Year-2: New algorithms Ø  Improve soft calibrations for columns and profiles Ø  Improve consistency of column/profile algorithms, incl. clouds Ø  Improve data assimilation schemes (ingest all nadir sensors)

•  Year-3: Final (re)processing Ø  Complete reprocessing GOME, SCIA, GOME-2, OMI, IASI Ø  Merge/ assimilate full CCI and NASA data series

Plans for limb sensors (I) •  Year-1: Continuation and consolidation of CRDP

–  Reprocessing of data/new data versions –  Update of HARMOZ and other L3 data à “covering all

years” •  Year-2: Development of new algorithms

–  Improvements of Level 3 data / Lifetime data record –  Special UTLS datasets (e.g. tropopause referenced

datasets) –  Extension into the mesosphere (diurnal/daytime variation) –  Tropospheric ozone (e.g. limb-nadir matching) and

comparison w/ other data

Plans for limb sensors (II) •  Year-3: Final processing and inclusion of US

sensors –  Final processing of L3 datasets (stratosphere,

mesosphere, troposphere) –  Updated level 3 and merged data including US

sensors (HALOE, SAGEs, MLS, OMPS) –  Inclusion of mesospheric data in the merged data –  Trends and variability studies

Troposphere/UTLS developments

•  TWG: Tropospheric Working Group •  Involves EOST, VALT and CRG teams •  Coordinates development of new tropospheric products,

provides forum for exchange between teams •  5 different approaches to tropospheric product

development planned in Phase-2: Ø  OE nadir profiling (UV, TIR, optional combined UV/TIR)

Ø  Tropical tropospheric ozone based on cloud clearing (CCD) Ø  Limb-nadir matching approach Ø  Tropospheric ozone from assimilated nadir fields

Ø  Special UTLS (tropopause-referenced limb product)

Processing system in Phase-2

Main features Ø  flexible harmonized

distributed and scalable system.

Ø  easy way to integrate algorithm improvements.

Ø  acceleration of reprocessing campaigns

Ø  configuration management Ø  standardised validation

routines Ø  product access capability

CRG - Evaluation and prediction

Satellite data

E39C-A „free running“

Dameris and Loyola, 2011

CRG outlook for phase-2 •  Links to international activities:

Ø  WCRP Coupled Model Intercomparison Project Phase 5 (CMIP5); ü  IPCC 5th assessment report (2013); Ø  SPARC/IGAC Chemistry-Climate Model Initiative (CCMI); ü  UNEP/WMO Scientific Assessment of Ozone Depletion: 2014.

•  Use data available from climate, chemistry-climate (CCM) and chemistry-transport model (CTM) simulations: Ø  For example: CCMI Ref-C1SD* (1980-2012) ü  Analyses of short-term fluctuations and long-term trends; ü  Among others: column versus profile trends;

•  Contribution of CRG to establish consistent ECVs Ø  confrontation of multiple ECV parameters to the output of the Chemistry-

Climate Models operated by the Ozone_cci CRG

L2 Data Product Processing entity

Time period 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15

TC_GOME BIRA TC_SCIAMACHY BIRA TC_GOME2A BIRA TC_GOME2B BIRA TC_OMI BIRA TC_OMPS# BIRA NP_GOME RAL NP_SCIAMACHY RAL NP_GOME2A RAL NP_GOME2B RAL NP_OMI# RAL NP_IASI ULB LP_SCIAMACHY UBR/FMI LP_OMPS# UBR/FMI LP_MIPAS KIT/FMI LP_GOMOS ESA/FMI LP_OSIRIS UoS/FMI LP_SMR CHALM/FMI LP_ACE UofT/FMI LP_SAGEII FMI 84- LP_HALOE FMI 91- UTLS_SCIA UBR/FMI UTLS_MIPAS KIT/FMI UTLS_GOMOS FMI UTLS_OSIRIS UoS/FMI UTLS_ACE UofT/FMI MLT_MIPAS_DN_DCA* KIT MLT_GOMOS_DN_DCA* ESA/KIT MLT_ACE_DN_DCA* UofT/KIT MLT_SMR_DN_DCA* CHALM/KIT MLT_MIPAS_SM# KIT/IAA

L3/4 Data Product Processing entity

Time period 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15

TC_MRG DLR NP_MRG KNMI NP_ASSIM KNMI TTOC_GOME DLR TTOC_GOME2A∞ DLR TTOC_GOME2B∞ DLR LNTOC_ENVISAT UBR LNTOC_OMPS UBR LNTOC_OMPSG2# UBR LP_SCIA_MZM UBR/FMI LP_OMPS_MZM# UBR/FMI LP_MIPAS_MZM KIT/FMI LP_GOMOS_MZM ESA/FMI LP_OSIRIS_MZM UoS/FMI LP_SMR_MZM CHALM/FMI LP_ACE_MZM UofT/FMI LP_SAGEII_MZM FMI 84- LP_HALOE_MZM FMI 91- LP_MRG_MZM FMI LP_MRG_BWM FMI LP_MRG_FRM FMI UTLS_SCIA_L3$ UBR/FMI UTLS_MIPAS_L3$ KIT/FMI UTLS_GOMOS_L3$ FMI UTLS_OSIRIS_L3$ UoS/FMI UTLS_ACE_L3$ UofT/FMI UTLS_MRG_L3$ FMI MLT_MIPAS_MZM_DN KIT/IAA MLT_MIPAS_MZM_DN_DCA* KIT/IAA MLT_MRG_MZM_DN KIT/IAA MLT_MRG_MZM_DCA* KIT/IAA

Combined NASA-CCI data sets

L3/4 Data Product Resp. Entity

Time period 70-74 75-79 80-84 85-89 90-94 95-99 00-04 05-09 10-14 15-19

TC_SBUV-CCI DLR TC_ TOMS-CCI DLR NP_SBUV-CCI_ASSIM KNMI LP_SAGEII-GOMOS FMI LP_SAGEII-OSIRIS FMI LP_SAGEII-CCI FMI/All

NASA data sets CCI data sets