SPP 12571

STREMPResults STREMP

STREMP quantifies regionally the mass transport between hydrosphere, ocean and atmosphere. It provides an assessment of regional mass transport.

Results: 1. ocean water mass variation 2. steric component 3. straits flow 4. mass variation on land 5. improved hydrology model 6. improved ocean model

Fig. 2. Improved ocean model: 2nd EOF of steric component from free (red line) and assimilation runs.

Figure 4. Net flux at Gibraltar (left) and at Bosphorus (right) asequivalent water change in Mediterranean and Black Sea respectively.

Fig.1. WaterGAP3 compared to semi-climatological total river runoff (left) and to global model (right).

Figure 3. Sea level and its components in MED Sea

SPP 12572

STREMP

REGHYDROGRACE solution improved

by regional de-aliasing model

IMPLYGRACE solution improved

by regional de-aliasing model

WP 100 - TUDMulti-mission altimetry

retracked altimetry coast and landsteric-corrected altimetry

mean sea level

WP 200 - TUD + IGG GRACE post-processed solutions

GOCE geoid solution

WP 500 MDT from NEMO

Mass variation/straits flow

WP300 - ICBM NEMO assimilated model BS

WP 400 - CESRWaterGAP3 assimilated model with

GRACE, altimetry, SMOS

Steric from T, S from modelAltimetry, MDT for assimilation

GOCE to compute MDT

River runoff for assimilation

GRACE for WaterGAP3 calibration

GRACE solution, mean de-aliasing fields6 hourly ocean bottom pressure

Daily total water storage

DAROTA

ocean tide model EOT10 TOPO-EUROPE RATSEL-GRACEGRACE regional solution

JIGOGGRACE weekly solutions

geocenter motionsurface loading

WATERGAP

TASMAGOG

Vernetzung / Gewinn des Projektes in SPP / Einordnung in die Themen

Steady-state & long-term processes

Short-term processes

Understanding the satellite signal

SPP 12573

STREMPVisionen / offene Fragen für Phase 3

1. GRACE: which are the real spatial resolution limits of mass change estimation?

2. DE-ALIASING: what is the impact of different de-aliasing on the solutions? We will evaluate it using our regional models in the de-aliasing.

3. CORRECTIONS: the atmospheric correction applied to altimetry (MOG2D) is not fully compatible with corrections/de-aliasing used in GRACE. What is the effect on the two estimations of mass change?

4. OCEANOGRAPHY/HYDROLOGY: how to validate the models after data assimilation?

5. HYDROLOGY: GRACE cannot distinguish between different hydrological compartements. Can we separate the different compartments using external information?

  

Interaction & coupling of the dedicatedregional hydrology & ocean models

- Data assimilation plays a very important role in constraining the models

- The closure error validates mass variation & transport estimates

Open questions: