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bjlittle merged 3 commits into from
Jan 30, 2017
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Whats new improvements and additions of missing items. #2330

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Whats improvements and additions of missing items.
lbdreyer Jan 30, 2017
4ffac3b
Delete whats new contributions; update version number
lbdreyer Jan 30, 2017
6161762
Remove graphic testing whats new entry.
lbdreyer Jan 30, 2017
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44 changes: 29 additions & 15 deletions docs/iris/src/whatsnew/1.12.rst
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Expand Up @@ -2,7 +2,7 @@ What's New in Iris 1.12
***********************

:Release: 1.12
:Date: 2017-01-10
:Date: 2017-01-30

This document explains the new/changed features of Iris in version 1.12
(:doc:`View all changes <index>`.)
Expand All @@ -11,27 +11,29 @@ Iris 1.12 Features
==================
.. _showcase:

.. admonition:: Showcase Feature - New regridding schemes ...
.. admonition:: Showcase Feature: New regridding schemes

A new regridding scheme, :class:`iris.analysis.UnstructuredNearest`,
performs nearest-neighbour regridding from "unstructured" onto "structured" grids.
Here, "unstructured" means that the data has X and Y coordinate values
performs nearest-neighbour regridding from "unstructured" onto "structured"
grids. Here, "unstructured" means that the data has X and Y coordinate values
defined at each horizontal location, instead of the independent X and Y
dimensions that constitute a structured grid.
For example, data sampled on a trajectory or a tripolar ocean grid would be unstructured.
For example, data sampled on a trajectory or a tripolar ocean grid would be
unstructured.

The essential purpose is the same as
:class:`iris.experimental.regrid.ProjectedUnstructuredNearest`.
This scheme, by comparison, is generally more accurate, but slower.
In addition, added experimental ProjectedUnstructured regridders which use
scipy.interpolate.griddata to regrid unstructured data
(see :class:`iris.experimental.regrid.ProjectedUnstructuredLinear` and
:class:`iris.experimental.regrid.ProjectedUnstructuredNearest`). The
essential purpose is the same as :class:`iris.analysis.UnstructuredNearest`.
This scheme, by comparison, is generally faster, but less accurate.

In addition : added experimental ProjectedUnstructured regridders which use scipy.interpolate.griddata to regrid unstructured data (see :class:`iris.experimental.regrid.ProjectedUnstructuredLinear` and :class:`iris.experimental.regrid.ProjectedUnstructuredNearest`)

.. admonition:: Showcase Feature - Fast UM file loading
.. admonition:: Showcase Feature: Fast UM file loading

Support has been added for accelerated loading of UM files (PP and
Fieldsfile), when these have a suitable regular "structured" form.

A context manager is used to enable fast um loading in all the regular iris
A context manager is used to enable fast um loading in all the regular Iris
load functions, such as :meth:`iris.load` and :meth:`iris.load_cube`,
when loading data from UM file types.
For example:
Expand Down Expand Up @@ -102,9 +104,20 @@ Iris 1.12 Features
loaded and returned.
Previously, this simply resulted in an unrecoverable error.

* The transpose method of a Cube now results in a lazy transposed view of the original rather than realising the data then transposing it.
* The transpose method of a Cube now results in a lazy transposed view of the
original rather than realising the data then transposing it.

* The :func:`iris.analysis.cartography.area_weights` function is now more
accurate for single precision input bounds.

* Iris is now able to read seconds in datetimes provided in NAME trajectory
files.
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@lbdreyer lbdreyer Jan 30, 2017

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#2266


* Optimisations to trajectory interpolations have resulted in a significant
speed improvement.
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@lbdreyer lbdreyer Jan 30, 2017

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#2252


* Many new and updated translations between CF spec and STASH codes.
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#2298


* The :func:`iris.analysis.cartography.area_weights` function is now more accurate for single precision input bounds.

Deprecations
============
Expand All @@ -114,4 +127,5 @@ Deprecations

Documentation Changes
=====================
* Corrected documentation of :class:`iris.analysis.AreaWeighted` scheme to make the usage scope clearer.
* Corrected documentation of :class:`iris.analysis.AreaWeighted` scheme to make
the usage scope clearer.
3 changes: 0 additions & 3 deletions docs/iris/src/whatsnew/contributions_1.12/deprecate_2016-Nov-09_experimental_fieldsfile.txt
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1 change: 0 additions & 1 deletion docs/iris/src/whatsnew/contributions_1.12/docchange_2016-Dec-12_areaweighted.txt
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5 changes: 0 additions & 5 deletions docs/iris/src/whatsnew/contributions_1.12/newfeature_2016-Dec-08_pp_lblrec_error.txt
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1 change: 0 additions & 1 deletion docs/iris/src/whatsnew/contributions_1.12/newfeature_2016-May-20_lazy_cube_transpose.txt
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81 changes: 0 additions & 81 deletions docs/iris/src/whatsnew/contributions_1.12/newfeature_2016-Nov-09_structured_um_loading.txt
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1 change: 0 additions & 1 deletion ...s/src/whatsnew/contributions_1.12/newfeature_2017-Jan-05_experimental_scipy_regridder.txt
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6 changes: 0 additions & 6 deletions docs/iris/src/whatsnew/contributions_1.12/newfeature_2017-Jan-05_fields_file_skip.txt
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10 changes: 0 additions & 10 deletions docs/iris/src/whatsnew/contributions_1.12/newfeature_2017-Jan-09_unstructured_scheme.txt
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2 changes: 1 addition & 1 deletion lib/iris/__init__.py
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Expand Up @@ -122,7 +122,7 @@ def callback(cube, field, filename):


# Iris revision.
__version__ = '1.12.0rc1'
__version__ = '1.12.0'

# Restrict the names imported when using "from iris import *"
__all__ = ['load', 'load_cube', 'load_cubes', 'load_raw',
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