## Characteristic Numbers of Heat Transport (independent of tides)

### From BAWiki

## Contents

## Motivation

Computation as well as visualization of the tide independent characteristic numbers of heat transport gives some insight into the

- local (rate of change) of heat content,
- mean (horizontal) heat transport due to advection,
- mean (horizontal) heat transport due to diffusion,
- strength of sources and sinks, as well as
- heat exchange between atmosphere and water body

within the period of data analysis.

From these, conclusions can be drawn on the mean (residual) transport of heat, and i. e. the relative significance of advection versus diffusion. For estuaries, fresh water flow, bathymetry, as well as wind shear are considered to be the main influencing factors. I. e. heat exchange between water and atmosphere may be significantly influenced by the wind.

## Definitions for the tide-independent characteristic numbers of heat transport

**An automatic analysis is carried through by the computer program NCANALYSE.**

### Divergence of Horizontal Heat Transport

(Mean) divergence (GW) of the horizontal heat flux within the period of analysis for all computational cells (control volumes).

*No example graphics available yet*.

Data analysis: NCANALYSE.

### Horizontal Heat Flux due to Advection

(Mean) horizontal heat flux (GW) due to advection for the period of analysis at computational edges (lateral faces of control volumes).

*No example graphics available yet*.

Data analysis: NCANALYSE.

### Horizontal Heat Flux due to Diffusion

(Mean) horizontal heat flux (GW) due to diffusion for the period of analysis at computational edges (lateral faces of control volumes).

*No example graphics available yet*.

Data analysis: NCANALYSE.

### Sources and Sinks

(Mean) heat flux (GW) within the period of analysis due to sources and sinks within computational cells (control volumes).

*No example graphics available yet*.

Data analysis: NCANALYSE.

### Heat Exchange with Atmosphere

(Mean) heat exchange (GW) between atmosphere and water body for computational cells (control volumes).

*No example graphics available yet*.

Data analysis: NCANALYSE.

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