Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| 32 | — | 0 | 2176 | 2176 100% | |
| Earth System Science Data | 13 | — | 0 | 20 | 20 100% |
| Earth Virtualization Engines (EVE) | 11 | — | 0 | 30 | 30 100% |
| EUREC4A | 9 | — | 0 | 45 | 45 100% |
| Indicators of Global Climate Change 2022: annual update of large-scale indicators of the state of the climate system and human influence | 7 | — | 0 | 11 | 11 100% |
| Global Carbon Budget 2021 | 7 | — | 0 | 30 | 30 100% |
| Global Carbon Budget 2022 | 7 | — | 0 | 26 | 26 100% |
| Heat stored in the Earth system 1960–2020: where does the energy go? | 6 | — | 0 | 10 | 9 90% |
| Spatial variability of Saharan dust deposition revealed through a citizen science campaign | 6 | — | 0 | 7 | 7 100% |
| Presentation and discussion of the high-resolution atmosphere–land-surface–subsurface simulation dataset of the simulated Neckar catchment for the period 2007–2015 | 6 | — | 0 | 7 | 7 100% |
| Indicators of Global Climate Change 2024: annual update of key indicators of the state of the climate system and human influence | 6 | — | 0 | 14 | 14 100% |
| Indicators of Global Climate Change 2023: annual update of key indicators of the state of the climate system and human influence | 6 | — | 0 | 18 | 17 94.4% |
| Global Methane Budget 2000–2020 | 6 | — | 0 | 27 | 27 100% |
| Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts | 6 | — | 0 | 28 | 28 100% |
| Global sea-level budget and ocean-mass budget, with a focus on advanced data products and uncertainty characterisation | 5 | — | 0 | 8 | 8 100% |
| Overview and update of the SPARC Data Initiative: comparison of stratospheric composition measurements from satellite limb sounders | 5 | — | 0 | 17 | 17 100% |
| ABCFlux v2: Arctic–boreal CO2 and CH4 monthly flux observations and ancillary information across terrestrial and freshwater ecosystems | 5 | — | 0 | 16 | 16 100% |
| WetCH4: a machine-learning-based upscaling of methane fluxes of northern wetlands during 2016–2022 | 5 | — | 0 | 9 | 9 100% |
| COSMOS-Europe: a European network of cosmic-ray neutron soil moisture sensors | 5 | — | 0 | 11 | 11 100% |
| The ABCflux database: Arctic–boreal CO2 flux observations and ancillary information aggregated to monthly time steps across terrestrial ecosystems | 5 | — | 0 | 18 | 18 100% |
| Global Carbon Budget 2020 | 5 | — | 0 | 17 | 17 100% |
| EUREC4A's HALO | 5 | — | 0 | 14 | 14 100% |
| Isotopic measurements in water vapor, precipitation, and seawater during EUREC4A | 5 | — | 0 | 13 | 13 100% |
| Harmonized gap-filled datasets from 20 urban flux tower sites | 5 | — | 0 | 8 | 8 100% |
| FLUXNET-CH4: a global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands | 5 | — | 0 | 29 | 29 100% |
| The Global Methane Budget 2000–2017 | 5 | — | 0 | 10 | 10 100% |
| Global Carbon Budget 2024 | 5 | — | 0 | 25 | 25 100% |
| Global Carbon Budget | 4 | — | 0 | 4 | 3 75% |
| The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019 | 4 | — | 0 | 20 | 20 100% |
| https://essd.copernicus.org/articles/15/5301/2023/ | 4 | — | 0 | 4 | 4 100% |
| EUREC4A observations from the SAFIRE ATR42 aircraft | 4 | — | 0 | 13 | 13 100% |
| Carbon Monitoring System Flux Net Biosphere Exchange 2020 (CMS-Flux NBE 2020) | 4 | — | 0 | 9 | 9 100% |
| MAP-IO: an atmospheric and marine observatory program on board Marion Dufresne over the Southern Ocean | 4 | — | 0 | 7 | 7 100% |
| ML-TOMCAT: machine-learning-based satellite-corrected global stratospheric ozone profile data set from a chemical transport model | 4 | — | 0 | 4 | 4 100% |
| Mass balance of the Greenland and Antarctic ice sheets from 1992 to 2020 | 4 | — | 0 | 9 | 8 88.9% |
| The global carbon budget 1959–2011 | 4 | — | 0 | 6 | 6 100% |
| Comparison of observation- and inventory-based methane emissions for eight large global emitters | 4 | — | 0 | 9 | 9 100% |
| An 11-year record of XCO2 estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm | 4 | — | 0 | 10 | 10 100% |
| World Atlas of late Quaternary Foraminiferal Oxygen and Carbon Isotope Ratios | 4 | — | 0 | 7 | 7 100% |
| A decade of GOSAT Proxy satellite CH4 observations | 4 | — | 0 | 6 | 6 100% |
| A global water resources ensemble of hydrological models: the eartH2Observe Tier-1 dataset | 4 | — | 0 | 7 | 7 100% |
| Ice core chemistry database: an Antarctic compilation of sodium and sulfate records spanning the past 2000 years | 4 | — | 0 | 9 | 9 100% |
| National CO2 budgets (2015–2020) inferred from atmospheric CO2 observations in support of the global stocktake | 4 | — | 0 | 20 | 20 100% |
| Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations | 4 | — | 0 | 7 | 7 100% |
| Development of the global dataset of Wetland Area and Dynamics for Methane Modeling (WAD2M) | 4 | — | 0 | 4 | 4 100% |
| Mapping the world's inland surface waters: an upgrade to the Global Lakes and Wetlands Database (GLWD v2) | 4 | — | 0 | 4 | 4 100% |
| Global Carbon Budget 2023 | 4 | — | 0 | 26 | 26 100% |
| State of Wildfires 2023–2024 | 4 | — | 0 | 8 | 8 100% |
| A comprehensive in situ and remote sensing data set collected during the HALO–(𝒜 𝒞)3 aircraft campaign | 4 | — | 0 | 11 | 11 100% |
| The consolidated European synthesis of CO2 emissions and removals for the European Union and United Kingdom: 1990–2020 | 4 | — | 0 | 16 | 16 100% |
Frequently Asked Questions
What anchor texts are used to link to essd.copernicus.org?
This page shows all anchor texts found in backlinks pointing to essd.copernicus.org, sorted by the number of referring domains using each anchor. Anchor texts range from branded terms (like the domain name itself) to keyword-rich phrases that describe the linked content. The distribution of anchor texts reveals how other websites perceive and describe essd.copernicus.org.
What is anchor text?
Anchor text is the visible, clickable text in a hyperlink. Search engines use anchor text as a signal to understand what the linked page is about. For example, if many sites link to a page using the anchor text "best running shoes," search engines infer that the page is relevant to that topic. Anchor text appears in several forms: exact-match (contains target keywords), branded (uses the company or domain name), generic (like "click here"), and naked URLs.
Why is anchor text analysis important for SEO?
Anchor text analysis helps identify potential SEO risks and opportunities. A natural backlink profile has diverse anchor texts including branded terms, generic phrases, and topic-relevant keywords. Over-optimization, where too many backlinks use the same exact-match keyword anchor, can trigger search engine penalties. Conversely, understanding which anchors drive the most authority (measured by referring domain count and DR) helps prioritize link building efforts.
How many unique anchor texts does essd.copernicus.org have?
The anchor text report for essd.copernicus.org displays all distinct anchor texts grouped by their hash. Each row shows how many unique referring domains use that anchor, the total number of links, and the dofollow percentage. A high number of unique anchors generally indicates a healthy, natural backlink profile with diverse link sources.